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Video & Image Analytics

Video & Image Analytics (CIVA)

Overview

HSC’s Core Image and Video Analytics (CIVA) engine is a generalized classification (what) and segmentation (where) engine that works on both videos and images. It is coupled with HSC’s big data framework accelerator to provide an easy-to-use system.
Customers involved/interested in the general space of image/video analytics will know that there are many different models/approaches to solving different problems. Depending on the dataset and needs, significant knowledge is required to know which works best and the right approach – should we discard our current approach and look for a new model, or should we tune our current model? That is exactly where CIVA helps. We do the hard work for you.

Click on the image on the right to see Our General Approach to Solving Diverse Problems

Features

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API Based

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Supports Inbuilt Models Like: Person Detection & Counting, Vehicle Counting, Traffic Violations, Face Recognition

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Detection of Custom Objects & Situations

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Analyses Static Images or Videos

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Advanced Person Tracking Features

Benefits
  • Support analysis of still images, recorded videos or streaming video
  • Offers both scale-up (large systems) and scale-down (embedded boards) configurations
  • Ability to chain/combine multiple machine learning models to achieve the end goal
  • Fully API based, easy to integrate with your end system
Use Cases
  • Deployed in a fleet security solution where our solution is used to track drivers for specific infractions, like driving without a seat belt, jumping red lights
  • Deployed in a consumer electronics OEM to detect physically defective manufacturing parts compared to good quality parts
  • Deployed in a retail chain to perform people counting and demographic analytics
Innovations@HSC
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