We're starting a new series of articles on our blog to share the exciting projects we've been working on. In each article, we'll introduce you to a different project case, explaining what the system does and how it works. 

In this first article, we’re talking about MindBox, a video surveillance system designed to recognize incidents and help with real-time monitoring.

Project Overview

MindBox is a smart video surveillance system that detects incidents within the camera's view. When something happens, it immediately alerts the operator and starts recording the video automatically, so nothing is missed.

Video Management and Editing Tools
Motion and Object Recognition

Operators can control the cameras remotely, using features like Pan-Tilt-Zoom (PTZ) to move the camera and focus on specific areas. They can also adjust settings like brightness, contrast, and sharpness to improve the video quality.

Video Management and Editing Tools

For administrators, MindBox provides a room map that shows where all the IP cameras are located and their current status. Administrators can click on any camera on the map to view live footage. The system also includes a powerful admin panel where they can set access rights, view analytics, and schedule when cameras should record.

Device Management

Technologies We Used

  • ‍Javascript, Next.js – for creating user interfaces‍
  • Node.js, Express.js – for running JavaScript on the server and creating APIs for interaction between the client and server sides‍
  • socket.io –  for real-time notifications and communication between the web browser and the server‍
  • Python, OpenCV, pip – for motion recognition feature ‍
  • WebRTC, AntMedia Server –  for seamless real-time video streaming‍
  • ffmpeg – for multimedia processing and manipulation‍
  • MongoDB – for storing and managing user data‍
  • Stripe – for accepting payments from credit cards

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Interested in developing your own video surveillance system? Contact us or book a quick call for a free personal consultation.

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Take a look at our other articles too:

Real-Time Anomaly Detection in Video Surveillance With Machine Learning

VALT Video Surveillance: From Out-of-the-Box Solution to Industry Leader

Personalized Planning: Ideation, Personal Consultation, and Scoping

  • Cases