Detection, inspection, tracking and scene understanding
Computer vision is the most widely deployed edge AI workload, spanning quality inspection, safety monitoring, people and vehicle analytics, and robotic guidance.
Solutions in this category
Representative platforms with the details engineering and procurement teams shortlist on.
Ultralytics
Ultralytics YOLO11
Open-source vision model family covering detection, segmentation, classification, pose and oriented boxes.
Specifications are summarised from publicly published manufacturer material and are provided for orientation only. Always confirm current figures directly with the manufacturer before purchasing or designing in.
Companies working in this category
NV
NVIDIA
Chip manufacturer
Develops the Jetson family of edge system-on-modules, the DGX Spark desktop AI system and the JetPack, TensorRT and DeepStream software stacks used for edge inference, robotics and vision AI.
Supplies the AM6xA and TDA4 processor families, which combine Arm application cores, vision and imaging accelerators and a deep learning accelerator for embedded vision, robotics and automotive designs.
Fabless company developing discrete edge AI processors, M.2 and PCIe accelerator modules and the Hailo AI Software Suite, spanning classic vision workloads and, with Hailo-10H, generative models.
Produces the IMX500 intelligent vision sensor, a stacked CMOS image sensor with an integrated AI processing block and on-chip memory, supported by the AITRIOS edge AI sensing platform.
Industrial computing manufacturer supplying modular fanless edge systems such as the MIC-770 series and GPU-dense edge AI servers such as the AIR-520 for factory and infrastructure deployments.
Builds embedded computing modules and the DLAP family of deep learning acceleration platforms, including fanless Jetson-based inference systems with Power over Ethernet camera inputs.
Designs fanless edge AI systems and carrier boards around NVIDIA Jetson modules, including wide-input, wide-temperature platforms for machine vision and mobile robotics integrators.
Builds configurable industrial computers, including fanless systems with Intel Core Ultra processors and expansion for Hailo accelerators or NVIDIA graphics cards.
Network video manufacturer producing cameras that run deep-learning analytics on the device through AXIS Object Analytics and the open AXIS Camera Application Platform.
Video surveillance manufacturer whose cameras include an on-board NPU for object detection, classification and licence plate recognition, with AI-assisted noise and bandwidth reduction.
Maintains the YOLO family of open-source vision models covering detection, segmentation, classification, pose estimation and oriented bounding boxes, dual-licensed under AGPL-3.0 and a commercial licence.
Provides computer vision tooling including the open-source Inference package and inference server, covering model loading, pre- and post-processing and workflow execution on edge devices.
What limits real-time video inference at the edge?
Typically decode capacity, memory bandwidth and model complexity rather than raw accelerator throughput. Check the number of concurrent streams a platform is documented to sustain at your target resolution and frame rate.