Run vision and AI models on the device, in the field. Built on NVIDIA Jetson, scalable up to Jetson Thor for the heaviest models.
Every Sentinel G is built on NVIDIA Jetson and ruggedised the same way. Pick the module that matches the size of the model you're running figures shown are indicative maximums.
Brilliant Performance for Development
Next-level AI performance for next-gen robotics and edge solutions.
A breakthrough in embedded applications.
8x AI performance: A giant leap forward for Edge AI
Bringing the power of modern AI to millions of devices
AI Mobile NVR with 8 PoE Ports Based on NVIDIA Jetson Nano
Take advantage of server-class performance in a form factor that is smaller than a credit card.
AI Mobile NVR with 8 PoE Ports Based on NVIDIA Jetson Xavier NX
Jetson AGX Xavier For Any Application
The same rugged GPU unit, doing the perception work each sector needs locally, in real time, with no video shipped upstream.
Sentinel G runs site safety and intrusion analytics across retail and depot sites spotting people, vehicles, and unsafe conditions on location and flagging them as they happen. On device analytics suit remote sites with thin connectivity, where streaming video upstream is not an option.
On the line, Sentinel G handles visual inspection and defect detection, reading the camera feed and catching faults at a speed no human matches. It also runs PPE and safety-zone checks to keep people clear of machinery. Models built in YOLO or PyTorch run on the device through TensorRT, so inspection keeps working even when the network drops.
At junctions and on highways, Sentinel G runs ANPR, vehicle and pedestrian counting, and incident detection turning camera feeds into traffic data without shipping video to a control room. DeepStream and NVIDIA Metropolis pipelines run on the unit, so a whole corridor of cameras processes locally and sends only the events that matter.
In yards and docks, Sentinel G tracks vehicles, pallets, and containers, reads plates at the gate, and watches loading bays. Running analytics at the edge keeps a large camera count off the central network and puts alerts in front of floor staff in real time.
For perimeters and remote posts, Sentinel G runs surveillance, thermal detection, and target tracking on the device no uplink required. Built into a sealed, rugged unit, it holds up in the field and runs on solar where there is no grid.
Across substations, pipelines, and remote assets, Sentinel G watches for intrusion, leaks, fire, and equipment faults using optical and thermal models. On device analytics suit sites with thin connectivity or none, where streaming video upstream is not an option.
Sentinel G runs site safety and intrusion analytics across retail and depot sites spotting people, vehicles, and unsafe conditions on location and flagging them as they happen. On device analytics suit remote sites with thin connectivity, where streaming video upstream is not an option.
On the line, Sentinel G handles visual inspection and defect detection, reading the camera feed and catching faults at a speed no human matches. It also runs PPE and safety-zone checks to keep people clear of machinery. Models built in YOLO or PyTorch run on the device through TensorRT, so inspection keeps working even when the network drops.
At junctions and on highways, Sentinel G runs ANPR, vehicle and pedestrian counting, and incident detection turning camera feeds into traffic data without shipping video to a control room. DeepStream and NVIDIA Metropolis pipelines run on the unit, so a whole corridor of cameras processes locally and sends only the events that matter.
In yards and docks, Sentinel G tracks vehicles, pallets, and containers, reads plates at the gate, and watches loading bays. Running analytics at the edge keeps a large camera count off the central network and puts alerts in front of floor staff in real time.
For perimeters and remote posts, Sentinel G runs surveillance, thermal detection, and target tracking on the device no uplink required. Built into a sealed, rugged unit, it holds up in the field and runs on solar where there is no grid.
Across substations, pipelines, and remote assets, Sentinel G watches for intrusion, leaks, fire, and equipment faults using optical and thermal models. On device analytics suit sites with thin connectivity or none, where streaming video upstream is not an option.
Sentinel G ships ready for the NVIDIA edge stack and the frameworks your team already builds in deploy your own containers on top.
Share the workload, the site conditions, and the I/O you need. We'll spec a Sentinel G build around it.
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