Shoplifter-Identifying AI Tech

Vaak Eye Enforces Retail Security Technology in Japan

Retail security technology is being revolutionized in Japan through the adoption of AI-based identification algorithms. The 'Vaak Eye' — developed by Tokyo-based start-up VAAK, is one such example where artificial intelligence can assist with loss prevention for big and small businesses.

The tool works on a few accounts. For one, VAAK fed the algorithm with 100,000 hours of surveillance data. As a result, the AI-based retail security technology monitors "subjects for fidgeting, nervousness or other suspicious gestures." The Vaak Eye sends alert to store employees when out-of-norm behavior is detected, ultimately calling attention to the possibility of impending theft. In addition, the system also scans the appearance of the potential culprit — the data can include over 100 characteristics which, when it comes to nabbing a thief, can be quite helpful.
Trend Themes
1. AI-based Retail Security Technology - There is an opportunity for companies to develop and implement AI-based retail security technology to enhance their loss prevention capabilities.
2. Behavioral Surveillance Technology - The use of behavioral surveillance technology can identify suspicious gestures and behaviors and enable businesses to take proactive measures to prevent theft.
3. Big Data Analytics in Retail Security - Big data analytics can be used to enhance loss prevention strategies by collecting and analyzing large amounts of surveillance data to identify patterns and trends across multiple locations.
Industry Implications
1. Retail Industry - Retailers can benefit from incorporating AI-based retail security technology to minimize losses due to theft, damage or fraudulent activity.
2. Security Industry - The security industry can leverage behavioral surveillance technology to develop innovative and effective loss prevention solutions for retail and other industries.
3. Artificial Intelligence Industry - The AI industry can continue to innovate and improve the capabilities of retail security technology by developing more advanced algorithms and machine learning models.

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