Building a ESP32-CAM Helmet Detection System Using and CircuitDigest Cloud
The article discusses the creation of a helmet detection system using an ESP32-CAM and CircuitDigest Cloud. This project simplifies traffic monitoring by utilizing cloud AI services for helmet detection, eliminating the need for heavy local AI models. It is particularly suitable for engineering students looking to experiment with computer vision in a manageable setup.
- ▪The ESP32-CAM captures images and uploads them to a cloud AI service for helmet detection.
- ▪The system operates without the need for local AI model deployment, making it simpler and more cost-effective.
- ▪Upon detecting riders, the system sends notifications via WhatsApp, enhancing user engagement.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3222098) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } David Thomas Posted on May 27 Building a ESP32-CAM Helmet Detection System Using and CircuitDigest Cloud #esp32cam #tutorial #circuitdigestcloud #iot Traffic monitoring sounds complicated until you realize a tiny ESP32-CAM can actually do most of the work. This ESP32-CAM Helmet Detection project captures an image, uploads it to a cloud AI service, and checks whether riders are wearing helmets or not.
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