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Real-Time Multi-Camera Intelligence & Event Monitoring Platform

Monitors and analyzes multiple camera feeds in real time with event detection, alerts, and interactive visual tracking.

Categories
  • Computer vision
  • Video Analytics
  • Surveillance Systems
  • Edge Computing
  • Real-Time Systems
Technologies
  • DeepStream
  • YOLOv8
  • TrafficCamNet
  • FastAPI
  • OpenCV
  • RabbitMQ
  • REST APIs
  • RTSP
  • Database Systems

Project Overview

This system is built to manage and analyze live streams from multiple RTSP cameras through a unified processing pipeline. It detects objects such as people and vehicles in real time and converts raw video feeds into structured events with alerts, tracking, and visual indicators. A centralized dashboard presents all camera streams in a stitched video wall, enabling operators to monitor large environments efficiently.

Beyond live monitoring, the platform provides a full event intelligence layer. It logs detections, assigns unique event IDs, and allows users to explore activity through map-based views and historical timelines. With flexible configuration, scalable pipeline support, and real-time communication between backend and frontend, the system is designed for high-performance surveillance and operational visibility.

Key Capabilities

  • Real-time monitoring of 20+ camera streams
  • Object detection using YOLOv8 and TrafficCamNet
  • Event-based alerting with visual indicators
  • Interactive dashboard with video wall and map view
  • Historical event tracking and retrieval system

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The core of NexPred Solutions is to unleash scalability with state-of-the-art deep learning (computer vision & NLP), data-driven AI-based applications to provide more value to end customers.

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