CEYARK – GenAI Powered Company.

Chennai, India
+919042179452
business@ceyark.com
Visual AI Value Proposition

GenAI Powered Models - Offering Enhanced Video inference techniques transforming automated Visual based instructions.

- Automated Zero Human Touch Video inference triggered actions.

Concept
Features

Providing Efficient Smart Visual AI Solutions

GenAI models allows to deploy efficient video inference techniques for zero human touch video monitoring and actioning tasks.

Our Offerings in 2 minutes
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Next Gen Technology

Real Time Video Inference is Key

Technical capability to infer video streams at near real time to make objective decisions offers unlimited functional possibilities.

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architect@ceyark

Visual AI Deployments

Offerings

Real Time Video Inference Platform For Vehicle Traffic Measurement

The DNN model in the platform performs real time inference on Video streams received from Video Cameras placed at various traffic intersections to derive vehicle traffic information.

Offerings

Real Time Video Inference Platform for Commercial and Office Parking Slots Management

GenAI models allows to perform near real time inference on Video camera streams within a geographic boundary to derive vehicle traffic information.

Offerings

Real Time Video Inference for Retail Store Visitor Profiling.

GenAI Models allows real time inference on Video Camera streams in a shopping mall to perform automated visitor profiling.

Offerings

Real Time Video Inference for Securing Smart Apartments

GenAI model allows real time inference on Video camera streams from a residential apartment to identify, capture and store vehicle details and people movement details.

Offerings

Video Inference Platform For Smart Policing

GenAI models allow to perform offline inference on archived video recordings from different geographic locations and enable to Infer and store objects of interest information. Stored inference data can be used later for analysis.

Offerings

Video Inference Platform For Intruder Detection System

GenAI models allows to perform near real time inference on Video camera streams received to perform human intrusion detections.