Semantic Scholar Open Access 2024 2 sitasi

Vision Safe (ESP32 Cam-Based Eyeglass Monitoring Solution with Eyewear Detection System)

Ashvini Shrikrushna Hirve Siddhant Sanjay Jaiswal

Abstrak

This paper explores the integration and capabilities of the ESP32-CAM, a versatile development board combining the ESP32 microcontroller with the OV2640 camera module. Emphasizing its cost-effective solution for Wi-Fi-enabled cameras, the ESP32-CAM boasts a potent 32-bit microcontroller and microSD card support, making it ideal for diverse IoT projects. Its applications in security surveillance, particularly in DIY security projects and home automation, further underscore its versatility in remote monitoring and surveillance. Security is a top priority for the ESP32-CAM, featuring a secure boot to authenticate firmware and robust encryption protocols ensuring secure Wi-Fi communication. Over-The-Air (OTA) updates enhance security by allowing remote firmware updates while maintaining data integrity. Access control measures, strong credentials, regular updates, and network segmentation fortify security at both device and network levels. The paper delves into the critical application of eye glass detection in industrial settings, emphasizing its role in ensuring occupational safety, regulatory compliance, and accident prevention. The ESP32-CAM's proactive approach in identifying non-compliance in hazardous areas contributes significantly to workplace safety and productivity. Integration with access control systems adds an extra layer of security, ensuring that only individuals with proper eye protection gain access to specified areas. Key findings highlight the ESP32-CAM's contributions, including its impact on occupational safety enhancement, integration with access control systems, data insights for safety analytics, emergency prioritization, and the development of customized training programs. In conclusion, the ESP32-CAM emerges as a crucial technological solution for enhancing safety, security, and productivity in industrial settings, showcasing its multifaceted benefits and contributions to creating a safer and more efficient working environment.

Penulis (2)

A

Ashvini Shrikrushna Hirve

S

Siddhant Sanjay Jaiswal

Format Sitasi

Hirve, A.S., Jaiswal, S.S. (2024). Vision Safe (ESP32 Cam-Based Eyeglass Monitoring Solution with Eyewear Detection System). https://doi.org/10.48175/ijarsct-15010

Akses Cepat

Lihat di Sumber doi.org/10.48175/ijarsct-15010
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.48175/ijarsct-15010
Akses
Open Access ✓