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Custom Edge Computer Vision & RTSP

Akshora AI Labs builds real-time, multi-camera video analytics that run on edge NVIDIA Jetson hardware. Typical use cases are PPE safety-gear enforcement, intruder-zone detection and ANPR. Pipelines use YOLOv10 and DeepStream on Jetson Orin Nano or AGX, and the lab bench has been tested across 16 simultaneous RTSP feeds at sub-85ms latency.

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What's included

  • PPE compliance detection for helmets and safety vests
  • Exclusion-zone and intruder detection across multiple RTSP camera feeds
  • Automatic number plate recognition (ANPR)
  • YOLOv10 custom class adaptation and TensorRT INT8 calibration for low-latency edge execution
  • DeepStream pipelines packaged with FastAPI, queues, health checks and telemetry webhooks

Common questions

Which hardware does the computer vision pipeline run on?

Akshora AI Labs runs its computer vision pipelines at the edge on NVIDIA Jetson Orin Nano and AGX devices, and can also deploy them into your corporate AWS or GCP environment. Benchmarks are run on Jetson test rigs in the Sector 62, Noida lab.

How many camera feeds can one system handle?

The reference pipeline was tested across 16 simultaneous RTSP feeds on a Jetson Orin Nano test bench with sub-85ms latency. Capacity for your site depends on camera resolution, models and hardware, and is confirmed with a latency SLA during the first 48 hours of discovery.

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