Company: HENRY Technologies
Experience: 4-6 years
Location: Remote / Work from home
Joining: Immediate joiners

About the Role

HENRY Technologies is looking for a hands-on Edge AI & Computer Vision Integration Engineer with robust experience in cameras, microprocessors, device connectivity, and cloud integration.

Our goal is to capture images and video, use computer vision to detect potential safety and security concerns, store relevant images and detection data in the cloud, and display the results on the HENRY website and Microsoft Dynamics 365 Business Central.

The primary focus of this role is camera selection, connectivity, streaming, edge processing, and cloud integration. You will also contribute to computer vision detection code and support future integration with mobile rovers and robotic platforms.

Key Responsibilities

• Evaluate and recommend suitable cameras based on image quality, streaming capabilities, connectivity, compatibility, and operating conditions.
• Configure and integrate IP cameras, USB cameras, and other suitable imaging devices.




• Set up image capture and video streaming using RTSP, camera APIs, SDKs, and relevant protocols.
• Configure Raspberry Pi or similar microprocessor-based edge devices for image capture, preprocessing, and computer vision inference.
• Develop pipelines to transfer images or video streams from cameras to edge devices and cloud processing services.
• Store detection images, relevant video clips, and associated metadata in cloud storage.
• Collaborate with website and Microsoft Business Central developers to retrieve and display stored images and detection results through secure APIs.
• Assist in developing, integrating, and improving computer vision detection code using Python, OpenCV, and relevant frameworks.
• Troubleshoot camera connections, network issues, streaming failures, device performance, and cloud uploads.
• Implement logging, automatic reconnection, local buffering, and retry mechanisms to maintain

📌 Edge AI (India)
🏢 Henry Technologies
📍 India