This category covers application-ready, high-performance Edge AI Platforms and Intelligent Gateways (such as the iWave Corazon-AI platform) designed to process heavy deep learning models and computer vision workloads directly at the data source.
Unlike standard IoT gateways that simply collect and forward raw sensor logs to the cloud, Edge AI Gateways run real-time inference on multi-channel video feeds and sensor streams locally. By processing data on-device, they deliver sub-millisecond response times, cut bandwidth expenses, and protect data privacy.
Key Highlights
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Heterogeneous Compute Engines:
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Powered by advanced ARM + FPGA / NPU architectures (such as AMD Zynq® UltraScale+™ MPSoC or NXP i.MX 95/8M Plus) to execute parallel neural networks with optimized power-per-watt performance.
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Integrated Deep Learning Processing Units (DPUs) and vision acceleration engines built for real-time object detection, tracking, and classification.
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Multi-Camera & Video Streaming: Supports up to 8 simultaneous IP camera streams via multi-port Gigabit Ethernet or MIPI-CSI interfaces for parallel video analytics.
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Software AI Stacks & Framework Support: Pre-integrated with deep learning stacks (e.g., AMD Vitis™ AI, Hailo, OpenVINO, TensorRT) enabling rapid deployment of trained TensorFlow, PyTorch, and ONNX models.
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Rugged Form Factor & High-Speed I/O:
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Compact board layouts (e.g., Pico-ITX) housed in fanless, industrial aluminum enclosures.
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Equipped with Wi-Fi 6, BLE 5.0, M.2 4G/5G expansion, Dual CAN FD, and USB 3.0 interfaces.
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Please find the detailed product information here:
Edge AI Gateway