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Automated Wheel Nut Inspection & Fleet Safety Intelligence System

A real-time truck inspection platform that detects wheel safety issues, validates red indicators, and generates automated compliance reports without stopping vehicles.

Categories
  • Computer vision
  • EdgeAI
  • Industrial Automation
  • Transportation Analytics
  • Deep Learning
  • Video Analytics
Technologies
  • DeepStream
  • YOLOv8
  • TensorRT
  • CUDA
  • OpenCV
  • TensorFlow
  • Keras
  • NVIDIA Jetson
  • Docker
  • Azure IoT Hub
  • RTSP
  • python
  • ONNX
  • TensorRT Engines

Project Overview

Truck Checker is a high-speed automated inspection system designed for commercial fleet safety and transport compliance. Built for continuous roadside and gate-based operations, the platform analyzes truck wheels in real time using multiple AI models running on NVIDIA Jetson hardware. It identifies wheel assemblies, classifies nut conditions, validates red safety indicators, and generates inspection reports automatically as trucks pass through inspection zones.

The system removes the need for manual wheel inspections by combining computer vision, edge AI, tracking, and cloud reporting into a fully autonomous workflow. It operates continuously with dual camera streams, processes vehicles without requiring them to stop, and publishes annotated inspection evidence directly to cloud infrastructure for compliance monitoring and operational visibility.

Key Capabilities

  • Real-time wheel and nut inspection from moving trucks
  • Multi-stage AI pipeline for wheel, nut, and red indicator analysis
  • Automated vehicle tracking and temporal validation across frames
  • Cloud-based compliance reporting with annotated evidence
  • Continuous 24/7 edge deployment with autonomous processing

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