JIFFY Electronics

Event cameras report brightness changes instead of complete image frames, but that does not automatically make every system faster, smaller or more efficient. This guide explains the real latency path

Edge AI tracking is often described as a model-selection problem: choose a detector, add a tracker, and send the result to the operator. In a real UAV or industrial vision system, the difficult par...

The JAIDB-3576-4C combines four synchronized MIPI camera inputs, inertial data and RK3576 edge AI processing in a compact platform designed for AMRs, AGVs, inspection robots and autonomous ground syst

Plan an industrial wireless vision system by defining the imaging task, data path, RF link, edge workload, interfaces, power, thermals and validation method.

Design and validate cooling for continuous edge inference, multi-camera processing and video encoding by measuring the final workload and enclosure.

Move an AI model to an embedded NPU by validating operators, conversion, quantization, preprocessing, accuracy, latency, memory and production versions.

Estimate camera input, memory, codec, AI, storage and network bandwidth for a multi-camera edge computing platform before integration.

Validate synchronized multi-camera capture, processing, AI inference, codecs, storage, networking, power and thermals on an edge computing platform.