• Mrs. Asha R
• Ms. Thanmaya K P
• Mr. Tejas R
• Mr. Vishal H S
• Mr. Tejas P S

The Object Identification project leverages the ESP32-CAM module combined with cloud-based image processing via the Google Vision API to develop a real-time object detection system. It integrates hardware components like the ESP32-CAM, OLED display, and power supply with software including Node.js for server management and Google Vision API for image analysis. The ESP32-CAM captures images with its OV2640 camera and sends them to a Node.js server, which forwards them to the Vision API for object identification. The API returns labels with confidence scores, which the ESP32-CAM displays on the OLED screen in real time. This system supports live feeds, offering applications in surveillance, assistive technologies, and industrial automation. Node.js efficiently handles communication and data formatting between devices and the cloud. The modular architecture allows future enhancements like motion sensors or advanced recognition models. Combining low-cost hardware with cloud AI, the project demonstrates scalable, intelligent object detection for practical real-world use cases. Additionally, the system’s lightweight embedded design ensures portability and low power consumption, making it suitable for deployment in remote or resource-constrained environments. The use of cloud-based AI eliminates the need for heavy local computation, reducing hardware costs while maintaining high accuracy. This approach also enables easy updates and improvements to the detection algorithms without modifying the embedded hardware.

Keywords: ESP32-CAM, Google Vision API, Object Identification, Node.js server

"Object identification using ESP32-CAM and Google Vision API: A cloud-assisted embedded system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.c648-c658, June-2025, Available :http://www.jetir.org/papers/JETIR2506287.pdf

"Object identification using ESP32-CAM and Google Vision API: A cloud-assisted embedded system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. ppc648-c658, June-2025, Available at : http://www.jetir.org/papers/JETIR2506287.pdf