The ‘VSL Inside’ License

VSL provides a full package of support to enable our partners to exploit

person Re-Identification within their customer solutions.  ‘VSL Inside’ partner

programme ensures that our partners get the best support in delivering to their

end customers in public safety and smart city applications.

RE-ID Software Development Kit and Application Programme Interface

Our solutions are designed to deliver rapid return-on-investment for our partners.

They do not require customization, long development cycles or professional

services. Vision Semantics provides a Re-ID SDK to allow partners to build

enterprise applications on top of our software using popular programme

languages such as Java, JavaScript, C# and Python. This provides our partners

the platform to create solutions with custom dashboards, flexible UI and data

visualizations. There is a full suite of documentation and technical support

available to ensure a quick route to market.

VSL has adopted a flexible pricing model to accommodate the variety of commercial exploitations. From the outset, Partners can deploy the solution for a 30-day period at nominal cost with on-going commercial licenses structured to ensure that Partners pay licence fees based on their estimated usage/capacity needs.

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The VSL Patented License Program

VSL is leading the way in researching and developing new video analytics techniques. Throughout our journey, we’ve built an industry-leading patent portfolio, which is now available for Partners to leverage. With the Vision Semantic Patent License, you can access worldwide patent assets that may be critical to the success of your business, covering the following key technologies and processes:
 

• Video search by person RE-ID with human-in-the-loop relevance feedback and space-time location profiling

• Video summarisation – Rapid data reduction & fast search by attributes

• Queue – Visual analysis for counting the number of people in a queue 

• Person Re-ID by reinforcement learning

• Super-resolution – Enabling recognition in poor data 

• Crowd analysis – Size of crowds profiling 

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