Trace

Project

Machine learning (CNN & Deep learning) technology used for Image processing on

Cloud and isolated/secure installation.

A system that detects and tracks intruders, suspicious/offending vehicles in real time. Integrates seamlessly into existing systems to save time and cost.

With enhanced dashboards and monitoring interfaces for real-time and post event analysis.

Realtime alerting over easily accessible channels such as Email, SMS, WhatsApp, and Telegram

Industry

Applications for Traffic and Law enforcement, to commercial space such as Hospitality, Retail, and Events industries. As well as Domestic surveillance such as smart home security systems

Tech Stack

  • Hardware:
    • Nvidia Jetson Nano, Raspberry Pi
    • IoT Sensors over Zwave, WiFi
    • Cameras streaming over RTSP
  • High level coding: Python
  • Time-series Database: InfluxDB
  • Machine Learning: TensorRT
  • Low level coding: C++, CUDA
  • Messaging/Alerting: MQTT, Email, WhatsApp, Telegram

Join the project…

Come join the project. Be exposed to cutting edge technologies. Make a difference in your community