Solink Corporation
$650,000.00 CAD
- Department
- National Research Council Canada
- Recipient country
- Canada
- Fiscal year
- 2018-2019
- Agreement period
- January 1, 2019 – February 28, 2020
- Reference
- nrc-cnrc:172-2018-2019-Q4-914537
Published purpose
Currently, loss prevention/risk professionals use data to isolate "exceptions' via business intelligence tools that allow them to focus on a particular individual or case where they can consume and watch video. It's a time intensive process to review hours of video to identify suspicious or fraudulent activity. This type of activity can be achieved through the use of AI to identify what would be fraudulent transactions and thus flag suspicious activity for the loss-prevention professional to review. Taking this further, the ability to use motion (or lack thereof) from a camera can help identify patterns of activity that can then be classified and used to provide users with information previously not available.
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