AI-Powered Video Telematics System
Client
Our client, a trusted name in digital logistics solutions, was already collaborating with Techshlok on real-time OBD data extraction from trucks. Building on this success, they envisioned a next-gen, AI-powered video telematics system to proactively monitor driver behavior and improve road safety.
Problem Statement
The goal was to create a compact, intelligent, and robust in-vehicle device capable of monitoring a range of driver behaviors such as seatbelt usage, fatigue, drowsiness, phone usage while driving, and smoking, and to generate alerts both locally to the driver and remotely to a central server. Their initial prototype was built on a Raspberry Pi, which was suitable for validation but lacked the robustness, scalability, and cost-effectiveness required for commercial deployment.
Solution
After detailed discussions and technical assessments, Techshlok proposed a structured development roadmap split across three primary stages: model training and optimization, hardware design and integration, and production-grade deployment with edge-cloud communication.
Approach
- AI Model Training & Optimization
- No seatbelt usage
- Phone use while driving
- Smoking inside the vehicle
- Fatigue and drowsiness
- Hardware Design & SoC Selection
- High-end night vision cameras
- 4G connectivity module for real-time video and alerts
- SD card support for local video storage (front and rear dashcam)
- Built-in speakers and microphones for two-way communication
- Tamper detection system (to monitor if camera is obstructed)
- Software & Streaming Integration
We developed a robust edge-cloud system using:
- MQTT for lightweight, reliable event communication
- RTSP protocol for real-time video streaming
- A custom streaming layer for mobile and web dashboard integration
- VoLTE support to enable calling directly through the device
Alerts were sent instantly to both the backend server and to the driver using audio and visual cues. Event-triggered video footage was saved and uploaded for incident analysis.
- Power Management & Protection
The system was engineered to work within a 24V truck battery environment, but capable of withstanding surges up to 100V. We designed a custom DC-DC converter with over-voltage protection and surge shielding to ensure reliability under harsh vehicle conditions.
- Testing & Validation
- Power fluctuation handling
- Thermal tolerance
- On-road vibration and stress
- Camera tamper and obstruction alerts
The mounting solution was optimized for ease of installation in commercial fleet vehicles.
This partnership enabled the client to shift from a Raspberry Pi-based concept to a mass-producible, enterprise-grade driver safety solution. With features like fatigue detection, 24/7 video monitoring, cloud communication, and tamper alerts, this innovation strengthens road safety compliance and establishes our client as a tech-driven logistics leader.
Business Value
Techshlok’s end-to-end involvement—from research and hardware engineering to deployment support—showcased our ability to empower logistics providers with custom electronics, AI integration, and scalable IoT solutions.
A future-proof, intuitive design with excellent engineering.
