We are glad to introduce NEURAL ORCHESTR[ai]TOR®: This product allows to greatly increase. the reach of the company's solutions.
With this new launch, we offer a broader vision of the traffic management going beyond the license plates or vehicles.
The detection of new actors like pedestrians and new events such as traffic jams, abandoned objects, etc. vastly enriches the range of solutions in the safe or Smart cities scope.
NEURAL ORCHESTR[ai]TOR® is a traffic analysis solution independent of the camera's model or brand.Using Deep Learning techniques, it analyses the scene recognizing objects, it individualises and classifies them to, afterwards, monitor (track) each of them. It evaluates, in real time, the object's beahviour detecting events and traffic offences.
It can process multiple Onvif cameras and takes advantage of the processing GPU (Graphics Processing Unit) power to detect objects using Deep Learning.
Orchestrator can analyse up to four traffic lanes per camera.
Ideal for solutions in which you want to analyse a scene, count, apply sanctions, AID or analyse with video images cars or people with Onvif cameras.
Orchestrator detects and classifies the following actors:
Tracks object while they are on the scene. Storing the trajectory of each of them for its analytics.
Using a rules engine, Orchestrator can recognise the following situations (many more can be programmed):
Orchestrator works with Neural Server for the license plate reading to sanction, for example.
Combined with Neural Server you can also detect:
Orchestrator can deliver results of objects and event detected to a third-party software using a SDK.
Through Neural platform, you can visualise and evaluate the scene anaysis:
Orchestrator is integrated with the Neural Labs solutions suite.
Consult your Neural Labs advisor or contact us using our form to dimension your hardware according to your requirements and needs. .
Orchestrator can work on the Edge with a Neural Labs AI Unit or can be centralized through servers with XEON and GPUs technology. It is always dimensioned by Neural Labs technical office.
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