Embedded Ml Detailed Case Study

Embedded Vision Robot for Intelligent Industrial Safety Inspection Using YOLOv11

An AI-powered autonomous industrial safety inspection robot using YOLOv11 computer vision, Raspberry Pi, ESP32, and IoT monitoring to detect PPE violations, fire hazards, smoke, and unsafe workplace conditions in real time.

Confidential Client Industrial Manufacturing, Smart Factory, Industry 5.0, Workplace Safety Chennai, India 16 Weeks

YOLOv11 Real-Time Detection Autonomous Safety Inspection Edge AI Robotics Platform Industry 5.0 Ready

Python YOLOv11 OpenCV Raspberry Pi 4 ESP32 Embedded C/C++ Streamlit Computer Vision IoT Arduino IDE HC-SR04 Ultrasonic Sensor MQ-2 Smoke Sensor Flame Sensor L298N Motor Driver DC Geared Motors

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AI-powered autonomous industrial safety inspection robot monitoring factory environment using computer vision — Autonomous AI robot performing real-time industrial safety inspection using computer vision.

Real-Time AI Vision Inspection

YOLOv11 based industrial monitoring

Multi-Sensor Hazard Detection

Fire smoke and obstacle monitoring

Edge AI On-Device Processing

Real-time inference using Raspberry Pi

24/7 Autonomous Monitoring

Continuous industrial safety inspection capability

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