Projects
Computer Vision & Safety.
Problem Statement:
Construction and industrial sites need automated compliance monitoring for worker safety helmet usage in hazardous environments
Objective:
Develop CNN and VGG-16-based image classifier to automate safety compliance monitoring with high precision
Process Pipeline:
- Safety helmet image dataset preparation
- VGG-16 transfer learning implementation
- Data augmentation and pixel normalization
- Precision-recall optimization for safety compliance
Technologies & Models:
TensorFlow/Keras, OpenCV, VGG-16 Transfer Learning, CNN
Key Outcomes:
Precision-recall optimization, Real-time detection, Safety compliance automation
Intelligence • Architecture • Global Scale