diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index dfb59b1..d062285 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -11,6 +11,7 @@ repos:
       - id: check-docstring-first
       - id: check-symlinks
       - id: check-added-large-files
+        exclude: ^(videoanalytics/videoanalytics/modules/yolov8n.pt|videoanalytics/videoanalytics/test.mp4)$
       - id: check-merge-conflict
       - id: check-executables-have-shebangs
       - id: check-shebang-scripts-are-executable
diff --git a/Makefile b/Makefile
index 3da93fa..e16e64d 100644
--- a/Makefile
+++ b/Makefile
@@ -71,7 +71,7 @@ all: check silent-stop run-app # Launch videoanalytics (EXAMPLE USAGE>> make )
 
 launch: silent-stop run-app # Launch videoanalytics without user choice to stop containers (EXAMPLE USAGE>> make launch)
 
-frebuild: fclean load-app run-app # BECARE: Completly delete images and load them after, then launch videoanalytics (EXAMPLE USAGE>> make frebuild)
+frebuild: run-build # BECARE: Completly delete images and load them after, then launch videoanalytics (EXAMPLE USAGE>> make frebuild)
 
 # Stop:
 stop: stop-containers # Stop videoanalytics (EXAMPLE USAGE>> make stop )
@@ -89,9 +89,11 @@ back-sh: get-inside-backend # To get into backend (EXAMPLE USAGE>> make back-sh)
 
 # Run App:
 # ------------------------------
-.PHONY: run-app
+.PHONY: run-app run-build
 
 run-app: figlet-launch compose-up-script
+run-build: compose-script-build
+
 
 
 # Sub commands:
@@ -114,6 +116,13 @@ compose-up-script:
 	@sudo docker compose -f $(DOCKER_COMPOSE_BACKEND) up -d
 	@echo "$(COLOR_GREEN)$(TAB)Docker Compose up finished successfully!$(COLOR_CLEAR)"
 
+compose-script-build:
+	@echo "$(COLOR_YELLOW)$(TAB)Configuring Docker Compose...$(COLOR_CLEAR)"
+	@bash $(SCRIPTS_DIR)/docker-compose-setup.sh
+	@echo "$(COLOR_YELLOW)$(TAB)Building Docker Compose...$(COLOR_CLEAR)"
+	@sudo docker compose -f $(DOCKER_COMPOSE_BACKEND) build
+	@echo "$(COLOR_GREEN)$(TAB)Building Docker Compose is finished successfully!$(COLOR_CLEAR)"
+
 see-backend-logs:
 	@echo "$(COLOR_YELLOW)$(TAB)Backend logs...$(COLOR_CLEAR)"
 	@export CONTAINER_ID=$$(sudo docker ps -q --filter "name=django_videoanalytics"); \
@@ -155,7 +164,7 @@ fclean: stop
 		figlet -c -t -f "ANSI Shadow" Deleting...; \
 		echo "\n\n\n"; \
 		echo "$(COLOR_YELLOW)$(TAB)$(TAB)$(TAB)Deleting...$(COLOR_CLEAR)"; \
-		sudo docker rmi -f $$(sudo docker images -a --quiet); \
+		sudo docker rmi -f $$(sudo docker images -a --quiet); h\
 	else \
 		echo "$(COLOR_GREEN)$(TAB)$(TAB)$(TAB)Cleaning canceled!$(COLOR_CLEAR)"; \
 	fi
diff --git a/README.md b/README.md
index 75f51a9..3c6580e 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,13 @@
+# Checkpoint_4 | Человеческий комментарий для проверки
+
+Пункты 1 и 2 чекпоинта выполнены в полном объёме (статика, proxy). Для проверки отдачи статики открыается *url* админки. Всё умещено в 1 образе nginx.
+Команды для запуска актуальны, всё накатиться и запустится автоматически. Желательно до git pull сделать docker compose down на предыдущем коммите.
+
+ВНИМАНИЕ: при отсутствии вебкамеры подготовленное видео не отображается в фронте, но отображается в очереди и приходят уведомления в телеграмм (нужно допиливать кодовую базу, чтобы работал StreamingHttpResponse с mp4, отложили на попозже). Для тестирования с своей вэбкой уведомлений и очередей необходимо оказаться человеку/части тела человека в объективе
+ВНИМАНИЕ: для запуска также необходимо поместить файл .env в папку с проектом. При желании можно подписаться на бота. Для этого необходимо написать боту https://t.me/JsonDumpBot , узнать свой "chat": { "**id**":** **123456789** и поместить его в файл .env через запятую. Важно, чтобы в конце OVCTECH_TG_CHAT_IDS была цифра, а не запятая. Токен трогать не нужно. В личку направили Павлу файлик.
+
+По всем возникшим вопросам можно писать в любое время в тг: @ovctech @Alex_alex_68
+
 # Предварительные требования:
 
 **Выполнить следующую команду:**
@@ -51,7 +61,7 @@ Commands:
 
 Скачайте репозиторий и перейдите в корень проекта:
 ```bash
-git clone git@github.com:ovctech/videoanalytics.git -b checkpoint_1 && cd videoanalytics
+git clone git@github.com:ovctech/videoanalytics.git -b checkpoint_3 && cd videoanalytics
 ```
 
 ## Автоматизированный метод
@@ -78,11 +88,12 @@ bash scripts/run.sh
 ```bash
 sudo apt install -y make figlet
 bash scripts/docker-compose-setup.sh
+sudo make frebuild
 sudo make
-open http://127.0.1.1:8000/video_feed/?camera_url=do_not_have_webcam__if_have_dont_parametize__just_video_feed_slash
+open http://127.0.1.1:8100/video_feed/?camera_url=do_not_have_webcam__if_have_dont_parametize__just_video_feed_slash
 ## ИЛИ при наличии вебкамеры
-open http://127.0.1.1:8000/video_feed/
+open http://127.0.1.1:8100/video_feed/
 ```
 # Ожидаемый результат
 
-У вас открывается браузер по умолчанию и отображается видео с закатом или видеопоток с вашей вебкамеры в зависимости от открытой *url* ссылки. В автоматизированном способе скрипт смотрит наличие вебкамеры в системы и при её отсутствии запускает подготовленное видео с закатом.
+У вас открывается браузер по умолчанию и отображается видео с закатом или видеопоток с вашей вебкамеры в зависимости от открытой *url* ссылки (в случае отсутствия вебкамеры будет отображаться пустая страница, но весь функционал будет работать в нормальном режиме). Также открывается *flower* в браузере за отслеживанием очереди. Также открывается админка *django* с демонстрацией отгрузки статики.
diff --git a/docker-compose-template.yml b/docker-compose-template.yml
index 79419c8..fda29dc 100644
--- a/docker-compose-template.yml
+++ b/docker-compose-template.yml
@@ -1,6 +1,13 @@
 version: "3.9"
-
 services:
+  redis:
+    container_name: redis_videoanalytics
+    image: redis:alpine
+    ports:
+      - 6379:6379
+    networks:
+      - django_network
+
   postgres:
     container_name: postgres_videoanalytics
     image: postgres:latest
@@ -18,8 +25,9 @@ services:
     build:
       context: ./videoanalytics/
       dockerfile: Dockerfile
-    ports:
-      - 8000:8000
+    entrypoint: /app/entrypoint.sh
+    expose:
+      - 8000
     depends_on:
       - postgres
     environment:
@@ -28,12 +36,74 @@ services:
       - POSTGRES_DB=my_database
       - POSTGRES_USER=my_username
       - POSTGRES_PASSWORD=my_password
+    env_file:
+      - .env
     networks:
       - django_network
     # ${DEVICES}:
       # ${DEVICES_DASH} /dev/video0:/dev/video0
     volumes:
       - ./data:/var/lib/postgresql/data
+      - ./videoanalytics/data:/data
+      - static_volume:/var/www/static
+
+  nginx:
+    container_name: nginx_videoanalytics
+    image: nginx:latest
+    volumes:
+      - ./nginx.conf:/etc/nginx/nginx.conf
+      - static_volume:/var/www/static
+    ports:
+      - 8100:8100
+    depends_on:
+      - django
+    networks:
+      - django_network
+
+  celery_worker:
+    container_name: celery_worker_videoanalytics
+    restart: always
+    hostname: celery_worker
+    build:
+      context: ./videoanalytics
+      dockerfile: Dockerfile
+    command: ['celery', '-A', 'backend.celery_app', 'worker' ]
+    volumes:
+      - ./data:/var/lib/postgresql/data
+      - ./videoanalytics/data:/data
+    env_file:
+      - .env
+    depends_on:
+      - redis
+    links:
+      - redis
+    networks:
+      - django_network
+
+  flower_worker:
+    container_name: flower_worker_videoanalytics
+    restart: always
+    hostname: flower_worker
+    build:
+      context: ./videoanalytics
+      dockerfile: Dockerfile
+    ports:
+      - 5555:5555
+    command: ['celery', '-A', 'backend.celery_app', 'flower' ]
+    volumes:
+      - ./data:/var/lib/postgresql/data
+      - ./videoanalytics/data:/data
+    env_file:
+      - .env
+    depends_on:
+      - redis
+    links:
+      - redis
+    networks:
+      - django_network
+
+volumes:
+  static_volume:
 
 networks:
   django_network:
diff --git a/nginx.conf b/nginx.conf
new file mode 100644
index 0000000..7db0a89
--- /dev/null
+++ b/nginx.conf
@@ -0,0 +1,26 @@
+events {}
+
+http {
+  include /etc/nginx/mime.types;
+
+  upstream django {
+    server django_videoanalytics:8000;
+  }
+
+  server {
+    listen 8100;
+    server_name localhost;
+
+    location /static/ {
+      autoindex on;
+      alias /var/www/static/;
+    }
+
+    location / {
+      proxy_pass http://django;
+        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+        proxy_set_header Host $host;
+        proxy_redirect off;
+    }
+  }
+}
diff --git a/scripts/configure.sh b/scripts/configure.sh
index 70c01a6..b733932 100644
--- a/scripts/configure.sh
+++ b/scripts/configure.sh
@@ -55,7 +55,7 @@ if [ -n "$ENV_SETUP" ]; then
     # Append the environment variable setup to the detected shell's configuration file
     echo 'export OVCTECH_VIDEOANALYTICS_SOFTWARE_INSTALLED=true' >> "$ENV_SETUP"
     echo "${COLOR_GREEN}${TAB}${TAB}Installation flag set in $ENV_SETUP.${COLOR_CLEAR}"
-    echo "${COLOR_YELLOW}${TAB}${TAB}Please restart your terminal or source the config file to apply changes.${COLOR_CLEAR}"
+    echo "${COLOR_YELLOW}${TAB}${TAB}Please restart your terminal or source the config file to apply changes. Accept next offer for auto.${COLOR_CLEAR}"
 else
     echo "${COLOR_RED}${TAB}${TAB}${TAB}Could not determine shell configuration file to update.${COLOR_CLEAR}"
 fi
diff --git a/scripts/run.sh b/scripts/run.sh
index 298f462..c8b34e7 100644
--- a/scripts/run.sh
+++ b/scripts/run.sh
@@ -45,6 +45,8 @@ fi
 # Check if the OVCTECH_VIDEOANALYTICS_SOFTWARE_INSTALLED environment variable is set to true
 if [ "$OVCTECH_VIDEOANALYTICS_SOFTWARE_INSTALLED" = "true" ]; then
     echo "${COLOR_GREEN}${TAB}Installation state verified. Proceeding to run the application.${COLOR_CLEAR}"
+    echo "${COLOR_GREEN}${TAB}Rebuilding if necessary.${COLOR_CLEAR}"
+    sudo make frebuild
 else
     echo "${COLOR_RED}${TAB}The software does not appear to be installed.${COLOR_CLEAR}"
     read -p "${COLOR_YELLOW}${TAB}Would you like to install the software dependicies now? If yes - type yes${ENTER}${TAB}${TAB}Type choices: [Any button/yes] ${COLOR_CLEAR}" answer
@@ -57,6 +59,7 @@ else
     fi
 fi
 
+
 ###############################################################################
 
 # Prepate docker compose file depending on system webcam
@@ -64,11 +67,13 @@ bash $RELATIVE_PATH/scripts/docker-compose-setup.sh
 
 # Run application if dependicies are already installed
 sudo make
-sleep 3
+sleep 15
+open http://127.0.1.1:5555/
+open http://127.0.1.1:8100/admin/
 if test -n "$(find /dev -name 'video*' -print -quit)"; then
     echo "Webcam found!"
-    open http://127.0.1.1:8000/video_feed/
+    open http://127.0.1.1:8100/video_feed/
 else
     echo "No webcam found."
-    open http://127.0.1.1:8000/video_feed/?camera_url=do_not_have_webcam__if_have_dont_parametize__just_video_feed_slash
+    open http://127.0.1.1:8100/video_feed/?camera_url=do_not_have_webcam__if_have_dont_parametize__just_video_feed_slash
 fi
diff --git a/videoanalytics/Dockerfile b/videoanalytics/Dockerfile
index ec3386f..9aa827a 100644
--- a/videoanalytics/Dockerfile
+++ b/videoanalytics/Dockerfile
@@ -2,24 +2,30 @@ FROM python:3.11.0-slim-bullseye AS builder
 
 WORKDIR /app
 
-COPY poetry.lock pyproject.toml ./
-
 RUN apt-get update && apt-get install -y --no-install-recommends \
     build-essential \
     libffi-dev \
     libssl-dev \
     libpq-dev \
+    curl \
+    redis-server \
     && rm -rf /var/lib/apt/lists/*
 
+COPY pyproject.toml poetry.lock ./
 RUN python -m pip install --no-cache-dir poetry==1.7.1 \
     && poetry config virtualenvs.in-project true \
+    && poetry config installer.max-workers 10 \
     && poetry install --no-interaction --no-ansi --without dev,test
 
 FROM python:3.11.0-slim-bullseye
 
+WORKDIR /app
+
+RUN mkdir -p /data
+
+RUN mkdir -p /var/www/static
 COPY --from=builder /app /app
 COPY . /app/
+COPY entrypoint.sh  /app/
 
-WORKDIR /app
-
-CMD ["/app/.venv/bin/python", "manage.py", "runserver", "0.0.0.0:8000"]
+ENV PATH="/app/.venv/bin:$PATH"
diff --git a/videoanalytics/__init__.py b/videoanalytics/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/videoanalytics/backend/__init__.py b/videoanalytics/backend/__init__.py
index e69de29..5568b6d 100644
--- a/videoanalytics/backend/__init__.py
+++ b/videoanalytics/backend/__init__.py
@@ -0,0 +1,5 @@
+# This will make sure the app is always imported when
+# Django starts so that shared_task will use this app.
+from .celery import app as celery_app
+
+__all__ = ("celery_app",)
diff --git a/videoanalytics/backend/celery.py b/videoanalytics/backend/celery.py
new file mode 100644
index 0000000..90c461f
--- /dev/null
+++ b/videoanalytics/backend/celery.py
@@ -0,0 +1,22 @@
+import os
+
+from celery import Celery
+
+# Set the default Django settings module for the 'celery' program.
+os.environ.setdefault("DJANGO_SETTINGS_MODULE", "backend.settings")
+
+app = Celery("backend", broker="redis://redis:6379/0")
+
+# Using a string here means the worker doesn't have to serialize
+# the configuration object to child processes.
+# - namespace='CELERY' means all celery-related configuration keys
+#   should have a `CELERY_` prefix.
+app.config_from_object("django.conf:settings", namespace="CELERY")
+
+# Load task modules from all registered Django apps.
+app.autodiscover_tasks()
+
+
+@app.task(bind=True)
+def debug_task(self):
+    print(f"Request: {self.request!r}")
diff --git a/videoanalytics/backend/settings.py b/videoanalytics/backend/settings.py
index 5904d87..fdf3098 100644
--- a/videoanalytics/backend/settings.py
+++ b/videoanalytics/backend/settings.py
@@ -10,8 +10,8 @@
 https://docs.djangoproject.com/en/4.2/ref/settings/
 """
 
-from pathlib import Path
 import os
+from pathlib import Path
 
 # Build paths inside the project like this: BASE_DIR / 'subdir'.
 BASE_DIR = Path(__file__).resolve().parent.parent
@@ -23,7 +23,7 @@
 SECRET_KEY = "django-insecure-r)28+*-%uagi$_uvpdzs4lgstea85u7nikb7jc8-5uw803&&(o"
 
 # SECURITY WARNING: don't run with debug turned on in production!
-DEBUG = True
+DEBUG = False
 
 ALLOWED_HOSTS = [".localhost", "127.0.0.1", "[::1]", "127.0.1.1"]
 
@@ -39,6 +39,7 @@
     "django.contrib.staticfiles",
     "rest_framework",
     "videoanalytics",
+    "celery",
 ]
 
 MIDDLEWARE = [
@@ -118,13 +119,28 @@
 
 USE_TZ = True
 
-
 # Static files (CSS, JavaScript, Images)
 # https://docs.djangoproject.com/en/4.2/howto/static-files/
 
-STATIC_URL = "static/"
+STATIC_URL = "/static/"
+MEDIA_URL = "/media/"
+STATICFILES_DIRS = [
+    BASE_DIR / "static",
+]
+STATIC_ROOT = "/var/www/static/"
+
 
+MEDIA_ROOT = os.path.join(BASE_DIR, "media")
 # Default primary key field type
 # https://docs.djangoproject.com/en/4.2/ref/settings/#default-auto-field
 
 DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField"
+
+# set the celery broker url
+CELERY_BROKER_URL = "redis://redis:6379/0"
+
+# set the celery result backend
+CELERY_RESULT_BACKEND = "redis://redis:6379/0"
+
+# set the celery timezone
+CELERY_TIMEZONE = "UTC"
diff --git a/videoanalytics/backend/urls.py b/videoanalytics/backend/urls.py
index afecb95..3f4e0ad 100644
--- a/videoanalytics/backend/urls.py
+++ b/videoanalytics/backend/urls.py
@@ -18,10 +18,13 @@
 from django.urls import path
 from django.conf.urls.static import static
 from django.conf import settings
+import sys
+import os
+
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 from videoanalytics import views
 
 urlpatterns = [
     path("admin/", admin.site.urls),
     path("video_feed/", views.video_feed, name="video_feed"),
-    path("video_demo/", views.video_demo, name="video_demo"),
 ] + static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)
diff --git a/videoanalytics/entrypoint.sh b/videoanalytics/entrypoint.sh
new file mode 100755
index 0000000..8efd8e7
--- /dev/null
+++ b/videoanalytics/entrypoint.sh
@@ -0,0 +1,10 @@
+#!/bin/sh
+
+sleep 5
+
+python manage.py migrate
+python manage.py createcachetable
+python manage.py collectstatic  --noinput
+gunicorn backend.wsgi:application --bind 0.0.0.0:8000 -w 6 #--insecure
+
+exec "$@"
diff --git a/videoanalytics/poetry.lock b/videoanalytics/poetry.lock
index 1bd7b51..0c3b86e 100644
--- a/videoanalytics/poetry.lock
+++ b/videoanalytics/poetry.lock
@@ -1,5 +1,19 @@
 # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
+[[package]]
+name = "amqp"
+version = "5.2.0"
+description = "Low-level AMQP client for Python (fork of amqplib)."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "amqp-5.2.0-py3-none-any.whl", hash = "sha256:827cb12fb0baa892aad844fd95258143bce4027fdac4fccddbc43330fd281637"},
+    {file = "amqp-5.2.0.tar.gz", hash = "sha256:a1ecff425ad063ad42a486c902807d1482311481c8ad95a72694b2975e75f7fd"},
+]
+
+[package.dependencies]
+vine = ">=5.0.0,<6.0.0"
+
 [[package]]
 name = "asgiref"
 version = "3.7.2"
@@ -17,6 +31,95 @@ typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
 [package.extras]
 tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
 
+[[package]]
+name = "async-timeout"
+version = "4.0.3"
+description = "Timeout context manager for asyncio programs"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
+]
+
+[[package]]
+name = "billiard"
+version = "4.2.0"
+description = "Python multiprocessing fork with improvements and bugfixes"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "billiard-4.2.0-py3-none-any.whl", hash = "sha256:07aa978b308f334ff8282bd4a746e681b3513db5c9a514cbdd810cbbdc19714d"},
+    {file = "billiard-4.2.0.tar.gz", hash = "sha256:9a3c3184cb275aa17a732f93f65b20c525d3d9f253722d26a82194803ade5a2c"},
+]
+
+[[package]]
+name = "celery"
+version = "5.3.6"
+description = "Distributed Task Queue."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "celery-5.3.6-py3-none-any.whl", hash = "sha256:9da4ea0118d232ce97dff5ed4974587fb1c0ff5c10042eb15278487cdd27d1af"},
+    {file = "celery-5.3.6.tar.gz", hash = "sha256:870cc71d737c0200c397290d730344cc991d13a057534353d124c9380267aab9"},
+]
+
+[package.dependencies]
+billiard = ">=4.2.0,<5.0"
+click = ">=8.1.2,<9.0"
+click-didyoumean = ">=0.3.0"
+click-plugins = ">=1.1.1"
+click-repl = ">=0.2.0"
+kombu = ">=5.3.4,<6.0"
+python-dateutil = ">=2.8.2"
+redis = {version = ">=4.5.2,<4.5.5 || >4.5.5,<6.0.0", optional = true, markers = "extra == \"redis\""}
+tzdata = ">=2022.7"
+vine = ">=5.1.0,<6.0"
+
+[package.extras]
+arangodb = ["pyArango (>=2.0.2)"]
+auth = ["cryptography (==41.0.5)"]
+azureblockblob = ["azure-storage-blob (>=12.15.0)"]
+brotli = ["brotli (>=1.0.0)", "brotlipy (>=0.7.0)"]
+cassandra = ["cassandra-driver (>=3.25.0,<4)"]
+consul = ["python-consul2 (==0.1.5)"]
+cosmosdbsql = ["pydocumentdb (==2.3.5)"]
+couchbase = ["couchbase (>=3.0.0)"]
+couchdb = ["pycouchdb (==1.14.2)"]
+django = ["Django (>=2.2.28)"]
+dynamodb = ["boto3 (>=1.26.143)"]
+elasticsearch = ["elastic-transport (<=8.10.0)", "elasticsearch (<=8.11.0)"]
+eventlet = ["eventlet (>=0.32.0)"]
+gevent = ["gevent (>=1.5.0)"]
+librabbitmq = ["librabbitmq (>=2.0.0)"]
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+slmq = ["softlayer-messaging (>=1.0.3)"]
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+tblib = ["tblib (>=1.3.0)", "tblib (>=1.5.0)"]
+yaml = ["PyYAML (>=3.10)"]
+zookeeper = ["kazoo (>=1.3.1)"]
+zstd = ["zstandard (==0.22.0)"]
+
+[[package]]
+name = "certifi"
+version = "2024.2.2"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = false
+python-versions = ">=3.6"
+files = [
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+
 [[package]]
 name = "cfgv"
 version = "3.4.0"
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 ]
 
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+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
+
 [[package]]
 name = "platformdirs"
 version = "4.2.0"
@@ -392,13 +1535,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "3.6.0"
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 description = "A framework for managing and maintaining multi-language pre-commit hooks."
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 [package.dependencies]
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 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
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+
+[[package]]
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+[package.dependencies]
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+
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+
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 version = "2.9.9"
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+uvicorn = ["uvicorn"]
+watchdog = ["watchdog"]
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+
 [[package]]
 name = "screen"
 version = "1.0.1"
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 [[package]]
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 description = "Easily download, build, install, upgrade, and uninstall Python packages"
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+    {file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"},
+    {file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"},
+    {file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"},
+    {file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"},
+    {file = "triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df"},
+]
+
+[package.dependencies]
+filelock = "*"
+
+[package.extras]
+build = ["cmake (>=3.20)", "lit"]
+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
+tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
+
 [[package]]
 name = "typing-extensions"
 version = "4.9.0"
@@ -733,13 +2275,13 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2023.4"
+version = "2024.1"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
-    {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
 ]
 
 [[package]]
@@ -759,15 +2301,77 @@ tzdata = {version = "*", markers = "platform_system == \"Windows\""}
 [package.extras]
 devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"]
 
+[[package]]
+name = "ultralytics"
+version = "8.1.18"
+description = "Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "ultralytics-8.1.18-py3-none-any.whl", hash = "sha256:ee223cbc36ede0cc3c8b5f604acb5f53c87e0c7ef0bca7b7bdb4b8d38fcad38a"},
+    {file = "ultralytics-8.1.18.tar.gz", hash = "sha256:c65922440d6d46f8d8a66cb87debc9d72d0cc74881298663367e74ff3ddfdfe2"},
+]
+
+[package.dependencies]
+matplotlib = ">=3.3.0"
+opencv-python = ">=4.6.0"
+pandas = ">=1.1.4"
+pillow = ">=7.1.2"
+psutil = "*"
+py-cpuinfo = "*"
+pyyaml = ">=5.3.1"
+requests = ">=2.23.0"
+scipy = ">=1.4.1"
+seaborn = ">=0.11.0"
+thop = ">=0.1.1"
+torch = ">=1.8.0"
+torchvision = ">=0.9.0"
+tqdm = ">=4.64.0"
+
+[package.extras]
+dev = ["check-manifest", "coverage[toml]", "ipython", "mkdocs-jupyter", "mkdocs-material (>=9.5.9)", "mkdocs-redirects", "mkdocs-ultralytics-plugin (>=0.0.44)", "mkdocstrings[python]", "pre-commit", "pytest", "pytest-cov"]
+explorer = ["duckdb (<=0.9.2)", "lancedb", "streamlit"]
+export = ["coremltools (>=7.0)", "onnx (>=1.12.0)", "openvino-dev (>=2023.0)", "tensorflow (<=2.13.1)", "tensorflowjs (>=3.9.0)"]
+extra = ["albumentations (>=1.0.3)", "hub-sdk (>=0.0.2)", "ipython", "pycocotools (>=2.0.7)"]
+logging = ["comet", "dvclive (>=2.12.0)", "tensorboard (>=2.13.0)"]
+
+[[package]]
+name = "urllib3"
+version = "2.2.1"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
+    {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
+]
+
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[[package]]
+name = "vine"
+version = "5.1.0"
+description = "Python promises."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "vine-5.1.0-py3-none-any.whl", hash = "sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc"},
+    {file = "vine-5.1.0.tar.gz", hash = "sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0"},
+]
+
 [[package]]
 name = "virtualenv"
-version = "20.25.0"
+version = "20.25.1"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.25.0-py3-none-any.whl", hash = "sha256:4238949c5ffe6876362d9c0180fc6c3a824a7b12b80604eeb8085f2ed7460de3"},
-    {file = "virtualenv-20.25.0.tar.gz", hash = "sha256:bf51c0d9c7dd63ea8e44086fa1e4fb1093a31e963b86959257378aef020e1f1b"},
+    {file = "virtualenv-20.25.1-py3-none-any.whl", hash = "sha256:961c026ac520bac5f69acb8ea063e8a4f071bcc9457b9c1f28f6b085c511583a"},
+    {file = "virtualenv-20.25.1.tar.gz", hash = "sha256:e08e13ecdca7a0bd53798f356d5831434afa5b07b93f0abdf0797b7a06ffe197"},
 ]
 
 [package.dependencies]
@@ -779,6 +2383,17 @@ platformdirs = ">=3.9.1,<5"
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
 test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
+[[package]]
+name = "wcwidth"
+version = "0.2.13"
+description = "Measures the displayed width of unicode strings in a terminal"
+optional = false
+python-versions = "*"
+files = [
+    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
+]
+
 [[package]]
 name = "xlwt"
 version = "1.3.0"
@@ -793,4 +2408,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10.0"
-content-hash = "f136ee2cd8f60935224ef6a489c31d4b5f58d77b4596100ec0a28e31fc803eeb"
+content-hash = "2ac92cdf21c13b305638725e1f84892cfbe954c07e05964f66d827837d848f89"
diff --git a/videoanalytics/pyproject.toml b/videoanalytics/pyproject.toml
index bd3862e..149a270 100644
--- a/videoanalytics/pyproject.toml
+++ b/videoanalytics/pyproject.toml
@@ -12,6 +12,12 @@ djangorestframework = "^3.14.0"
 django-admin = "^2.0.2"
 opencv-python-headless = "^4.9.0.80"
 psycopg2-binary = "^2.9.9"
+ultralytics = "^8.1.18"
+pytelegrambotapi = "^4.16.1"
+celery = {extras = ["redis"], version = "^5.3.6"}
+redis = "^5.0.1"
+flower = "^2.0.1"
+gunicorn = "^21.2.0"
 
 [tool.poetry.group.dev.dependencies]
 ruff = "^0.2.1"
diff --git a/videoanalytics/videoanalytics/constants.py b/videoanalytics/videoanalytics/constants.py
new file mode 100644
index 0000000..29cdb45
--- /dev/null
+++ b/videoanalytics/videoanalytics/constants.py
@@ -0,0 +1,35 @@
+CONNECTED_MODULES = ["yolov8n"]
+
+WANTED_CLASSES = {
+    "person": {"confidence": 0.6, "color": "Red"},
+}
+
+COLORS = {
+    "Yellow": (0, 255, 255),
+    "Magenta": (255, 0, 255),
+    "Cyan": (255, 255, 0),
+    "Maroon": (0, 0, 128),
+    "Blue": (255, 0, 0),
+    "Olive": (0, 128, 0),
+    "Navy": (128, 0, 0),
+    "Olive Green": (0, 128, 128),
+    "Green": (0, 255, 0),
+    "Red": (0, 0, 255),
+    "Purple": (128, 0, 128),
+    "Teal": (128, 128, 0),
+    "Orange": (0, 165, 255),
+    "Brown": (42, 165, 165),
+    "Gray": (128, 128, 128),
+    "Black": (0, 0, 0),
+    "White": (255, 255, 255),
+    "Pink": (203, 192, 255),
+    "Light Blue": (230, 216, 173),
+    "Dark Orange": (0, 140, 255),
+    "Saddle Brown": (19, 69, 139),
+    "Dark Cyan": (139, 139, 0),
+    "Pale Violet Red": (147, 112, 219),
+    "Medium Spring Green": (154, 250, 0),
+    "Tomato": (71, 99, 255),
+}
+
+WEBCAMS = [0]
diff --git a/videoanalytics/videoanalytics/modules/yolov8n.pt b/videoanalytics/videoanalytics/modules/yolov8n.pt
new file mode 100644
index 0000000..d61ef50
Binary files /dev/null and b/videoanalytics/videoanalytics/modules/yolov8n.pt differ
diff --git a/videoanalytics/videoanalytics/tasks.py b/videoanalytics/videoanalytics/tasks.py
new file mode 100644
index 0000000..5143577
--- /dev/null
+++ b/videoanalytics/videoanalytics/tasks.py
@@ -0,0 +1,35 @@
+import logging
+import telebot
+import os
+from celery import shared_task
+
+LOGGING_LEVEL = logging.INFO
+logging.basicConfig(format="%(asctime)s|%(levelname)s|%(message)s", level=LOGGING_LEVEL)
+logging.getLogger("videoanalytics").setLevel(logging.ERROR)
+logger = logging.getLogger(__name__)
+
+person_text = """
+**Новая детекция! - Человек!**
+- Дата и время: {time}
+- Уверенность модели: {conf}
+""".strip()
+
+token = os.environ.get("OVCTECH_TG_TOKEN")
+TG_CHAT_IDS = [int(id) for id in os.environ.get("OVCTECH_TG_CHAT_IDS").split(",")]
+
+BOT = telebot.TeleBot(token=token)
+
+
+@shared_task
+def send_photo_to_telegram(image_path, text):
+    for chat_id in TG_CHAT_IDS:
+        try:
+            BOT.send_photo(
+                chat_id,
+                photo=open(image_path, "rb"),
+                caption=text,
+                parse_mode="Markdown",
+            )
+            logger.info(f"Sent photo to {chat_id} with text: {text}")
+        except Exception as e:
+            logger.info(f"Failed to send photo to {chat_id}\nError: {e}")
diff --git a/videoanalytics/videoanalytics/templates/video_demo.html b/videoanalytics/videoanalytics/templates/video_demo.html
deleted file mode 100644
index 55782ae..0000000
--- a/videoanalytics/videoanalytics/templates/video_demo.html
+++ /dev/null
@@ -1,68 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>Video Feed</title>
-</head>
-<body>
-    <h1>Video Demonstration</h1>
-    <div>
-        <video id="videoFeed" autoplay playsinline controls></video>
-    </div>
-
-    <script>
-        const video = document.getElementById('videoFeed');
-
-        function loadVideo(cameraUrl) {
-            fetch(`/video_feed?camera_url=${cameraUrl}`)
-                .then(response => {
-                    if (!response.ok) {
-                        throw new Error('Network response was not ok');
-                    }
-                    let mediaSource = new MediaSource();
-                    video.src = URL.createObjectURL(mediaSource);
-                    mediaSource.addEventListener('sourceopen', function() {
-                        let sourceBuffer = mediaSource.addSourceBuffer('video/mp4; codecs="avc1.42E01E, mp4a.40.2"');
-                        let buffer = new Uint8Array(0);
-                        sourceBuffer.addEventListener('updateend', function() {
-                            if (buffer.length > 0) {
-                                sourceBuffer.appendBuffer(buffer);
-                            } else {
-                                mediaSource.endOfStream();
-                            }
-                        });
-                        response.body
-                            .pipeThrough(new TextDecoderStream())
-                            .pipeTo(new WritableStream({
-                                write(chunk) {
-                                    buffer = new Uint8Array(chunk);
-                                    sourceBuffer.timestampOffset = 0;
-                                    sourceBuffer.appendBuffer(buffer);
-                                },
-                                close() {
-                                    console.log('Stream closed');
-                                },
-                                abort(e) {
-                                    console.error('Stream error:', e);
-                                }
-                            }));
-                    });
-                })
-                .catch(error => {
-                    console.error('Error fetching video stream:', error);
-                });
-        }
-
-        window.onload = () => {
-            const urlParams = new URLSearchParams(window.location.search);
-            const cameraUrl = urlParams.get('camera_url');
-            if (cameraUrl) {
-                loadVideo(cameraUrl);
-            } else {
-                console.error('Camera URL not provided');
-            }
-        }
-    </script>
-</body>
-</html>
diff --git a/videoanalytics/videoanalytics/test.mp4 b/videoanalytics/videoanalytics/test.mp4
index 02a8311..546d3a5 100644
Binary files a/videoanalytics/videoanalytics/test.mp4 and b/videoanalytics/videoanalytics/test.mp4 differ
diff --git a/videoanalytics/videoanalytics/utils.py b/videoanalytics/videoanalytics/utils.py
new file mode 100644
index 0000000..3a07271
--- /dev/null
+++ b/videoanalytics/videoanalytics/utils.py
@@ -0,0 +1,27 @@
+import logging
+from datetime import datetime
+
+import cv2
+from .tasks import send_photo_to_telegram
+
+LOGGING_LEVEL = logging.INFO
+logging.basicConfig(format="%(asctime)s|%(levelname)s|%(message)s", level=LOGGING_LEVEL)
+logging.getLogger("videoanalytics").setLevel(logging.ERROR)
+logger = logging.getLogger(__name__)
+
+last_save_time = datetime.now()
+time_between_savings = 15
+
+
+def save_and_send_detection(frame, class_name, confidence):
+    global last_save_time
+    current_time = datetime.now()
+    if (current_time - last_save_time).total_seconds() >= time_between_savings:
+        logger.info(
+            f"Time has passed. Saving detection: {class_name} ({confidence:.2f})"
+        )
+        last_save_time = current_time
+        way_to_save = f"/data/{current_time}__{class_name}__{100*confidence:.1f}%.jpg"
+        text = f"**Новая детекция! - {class_name}**\n- - Дата и время: {current_time}\n- - Уверенность модели: {confidence:.2f}"
+        cv2.imwrite(way_to_save, frame)
+        send_photo_to_telegram.delay(way_to_save, text)
diff --git a/videoanalytics/videoanalytics/views.py b/videoanalytics/videoanalytics/views.py
index 16f8bf2..4ce474e 100644
--- a/videoanalytics/videoanalytics/views.py
+++ b/videoanalytics/videoanalytics/views.py
@@ -5,19 +5,16 @@
 
 from collections.abc import Iterator
 from django.http import StreamingHttpResponse
-from django.shortcuts import render
 from django.http import HttpResponseServerError
 
-LOGGING_LEVEL = logging.INFO
+from . import yolo
+
+LOGGING_LEVEL = logging.ERROR
 logging.basicConfig(format="%(asctime)s|%(levelname)s|%(message)s", level=LOGGING_LEVEL)
 logging.getLogger("videoanalytics").setLevel(logging.ERROR)
 logger = logging.getLogger(__name__)
 
 
-def video_demo(request):
-    return render(request, "video_demo.html")
-
-
 def get_camera_url():
     host = os.environ.get("POSTGRES_HOST")
     port = os.environ.get("POSTGRES_PORT")
@@ -51,6 +48,7 @@ def gen_frames(camera_url: str | int) -> Iterator[bytes]:
     if not cap.isOpened():
         logger.info("Failed to open camera.")
         return
+
     while True:
         try:
             success, frame = cap.read()
@@ -59,15 +57,29 @@ def gen_frames(camera_url: str | int) -> Iterator[bytes]:
                 break
             else:
                 logger.debug("Frame captured.")
-                ret, buffer = cv2.imencode(".jpg", frame)
-                frame = buffer.tobytes()
-                yield (
-                    b"--frame\r\n" b"Content-Type: image/jpeg\r\n\r\n" + frame + b"\r\n"
-                )
+
+                # Perform object detection with error handling
+                try:
+                    annotated_frame, detections = yolo.detect(frame)
+                except Exception as detection_error:
+                    logger.error(
+                        "Error during object detection: %s", str(detection_error)
+                    )
+                    annotated_frame = None
+
+                if annotated_frame is not None:
+                    _, buffer = cv2.imencode(".jpg", annotated_frame)
+                    annotated_frame_bytes = buffer.tobytes()
+
+                    yield (
+                        b"--frame\r\n"
+                        b"Content-Type: image/jpeg\r\n\r\n"
+                        + annotated_frame_bytes
+                        + b"\r\n"
+                    )
         except Exception as e:
-            logger.error("Error capturing frame:", str(e))
+            logger.error("Error capturing frame: %s", str(e))
             break
-    cap.release()
 
 
 def video_feed(request) -> StreamingHttpResponse:
diff --git a/videoanalytics/videoanalytics/yolo.py b/videoanalytics/videoanalytics/yolo.py
new file mode 100644
index 0000000..db6e5cf
--- /dev/null
+++ b/videoanalytics/videoanalytics/yolo.py
@@ -0,0 +1,78 @@
+import logging
+import os
+
+import cv2
+from ultralytics import YOLO
+
+from . import constants as CONST
+from . import utils
+
+LOGGING_LEVEL = logging.ERROR
+logging.basicConfig(format="%(asctime)s|%(levelname)s|%(message)s", level=LOGGING_LEVEL)
+logging.getLogger("videoanalytics").setLevel(logging.ERROR)
+logger = logging.getLogger(__name__)
+
+
+current_dir = os.path.dirname(os.path.abspath(__file__))
+models = [
+    YOLO(f"{current_dir}/modules/{x}.pt").to("cpu") for x in CONST.CONNECTED_MODULES
+]
+
+
+def draw_metadata(frame, detections):
+    for i in range(len(detections)):
+        class_name = detections[i]["class_name"]
+        confidence = detections[i]["confidence"]
+        color = tuple(CONST.COLORS[CONST.WANTED_CLASSES[class_name]["color"]])
+        if (
+            class_name in CONST.WANTED_CLASSES
+            and confidence > CONST.WANTED_CLASSES[class_name]["confidence"]
+        ):
+            # bounding boxes
+            box = detections[i]["box"]
+            x1, y1, x2, y2 = (
+                round(box[0]),
+                round(box[1]),
+                round(box[2]),
+                round(box[3]),
+            )
+            cv2.rectangle(frame, (x1, y1), (x2, y2), color, 2)
+            # label
+            label = f"{class_name} ({confidence:.2f})"
+            cv2.putText(
+                frame, label, (x1 - 10, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 2, color, 2
+            )
+            # save to /data
+            logger.info(f"Saving detection: {label}")
+            utils.save_and_send_detection(
+                frame=frame, class_name=class_name, confidence=confidence
+            )
+    return frame
+
+
+def detect(frame):
+    detections = []
+
+    for model in models:
+        results = model(frame, conf=0.6)
+
+        for detected_object in results:
+            boxes = detected_object.boxes
+            keypoints = None
+            if detected_object.keypoints is not None:
+                keypoints = detected_object.keypoints.data
+            for box in boxes:
+                xyxy = box.xyxy[0].tolist()
+                class_id = int(box.cls)
+                class_name = model.names[class_id]
+                confidence = box.conf[0].tolist()
+                detection = {
+                    "class_id": class_id,
+                    "class_name": class_name,
+                    "confidence": confidence,
+                    "box": xyxy,
+                    "keypoints": keypoints,
+                }
+                detections.append(detection)
+    logger.info(f"Detected {len(detections)} objects: {detections}")
+    return (draw_metadata(frame, detections), detections)