Collection: Edge AI & Computer Vision

Deploy inference at the edge — no cloud round-trip, no latency tax. These kits pair vision-capable hardware (Raspberry Pi 5, Jetson Nano/Orin, ESP32-CAM, and Hailo-class accelerators) with the sensors, optics, and power budget to run real models in the field: YOLO/YOLOv8 object detection, OpenCV pipelines, face and gesture recognition, ANPR, and defect inspection.

Each build is specified end-to-end — compute, camera, power, and storage — and pre-tested, so you're optimising your model, not debugging a bill of materials.

Choosing a platform

• Raspberry Pi 5 (4–8GB): best all-round for YOLOv8n and OpenCV at the edge; add a Hailo accelerator for ~13 TOPS.
• Jetson: CUDA cores for larger models and multi-stream pipelines.
• ESP32-CAM: ultra-low-power, always-on vision for battery and solar deployments.

Every kit ships across India with a GST invoice. Build production-grade edge vision without sourcing forty parts from forty sellers.