Surveillance systems serve an important role in modern civilization, providing a core level of security, vast monitoring capabilities, and significant data collecting across several industries. However, technological advancements have shown shortcomings in classic closed-circuit surveillance settings. These systems struggle to manage growing data loads, lack adaptive access restrictions, and suffer integration issues with cutting-edge technology. PulsePoint, our technology, solves these limits via a distributed method, changing traditional closed-circuit technologies.
The PulsePoint system is a collection of services designed to manage cameras, users, video storage, and video analytics. It enables users to efficiently handle video feeds, perform analytics, and access a user-friendly frontend.
Responsible for handling cameras, their registration, and stream URLs. Acts as an interface for camera data.
- Dockerfile: Link to Dockerfile
Manages user authentication, registration, and login functionalities.
- Dockerfile: Link to Dockerfile
Stores video files, manages uploads, and provides endpoints for fetching, deleting, and streaming videos.
- Dockerfile: Link to Dockerfile
Handles video analytics and processing tasks.
- Dockerfile: Link to Dockerfile
The user interface to interact with the entire system. It depends on all the other services.
- Dockerfile: Link to Dockerfile
- Docker
- Docker Compose
- Clone this repository.
git clone https://github.com/abdullahwaseem01/PulsePoint.git
cd pulsepoint- Run Docker Compose to start the services.
docker-compose upThis will initialize all the services and databases required for the PulsePoint system.
To start each service individually:
- Navigate to the respective service directory.
cd camera-management-service
# OR
cd user-management-service
# OR
cd video-storage-service
# OR
cd video-analytics-service
# OR
cd frontend- Use the appropriate command to start each service, e.g.:
npm start
# OR
python app.py
# OR any command needed to start the service- Camera Management Service: http://localhost:3002
- User Management Service: http://localhost:3001
- Video Storage Service: http://localhost:3003
- Video Analytics Service: http://localhost:3004
- Frontend: http://localhost:3000
The system uses MongoDB as its database. MongoDB is accessible on port 27017.
- MongoDB Initialization Script: mongo-init.js
The docker-compose.yml file includes service definitions, dependencies, and port mappings for each service in the system.