ExpertVision Ai

Stand: SU20
Fraud & Loss Prevention Fraud Protection and Detection Security Labels/Tags/RFID Security Systems Equipment and Services

ExpertVision AI offers advanced computer vision solutions for theft prevention in retail. 

We analyze video streams from retail store surveillance cameras in real-time to detect and prevent theft. Our innovative, patent ready, virtual RFID technology secures cashiers, self-checkouts, and store exits by identifying theft attempts. Incidents are instantly reported with video evidence, enabling store managers to take immediate action.

Address

ExpertVision AI AG
Baarerstrasse 43
Zug
6300
Switzerland

Products

ExpertVision AI Technology
ExpertVision AI’s Unique Capabilities include tracking items, baskets, and people from shelves to exit. 1. Product tracking: Virtual RFID tracks products with computer vision. It has same benefits as …
1 Results

    Video

    ExpertVision AI | Push-Out Alert
    Shoppers sometimes attempt to bypass the checkout area, heading directly toward an unmonitored exit with a full trolley or basket. Our system is designed to detect these attempts in real-time, alertin …
    ExpertVision AI | Bottom of the Basket Alert
    Shoppers sometimes forget items in their trolleys. Although cashiers might notice this, forgotten items often go undetected. Our system will recognize and alert the cashier in real-time to check the b …
    ExpertVision AI | Unscanned Product Detection
    Shoppers are expected to scan all their items correctly while using self-checkout terminals. However, it's a reality that sometimes they accidentally miss an item or intentionally skip scanning it. Ou …
    ExpertVision AI | Abandoned Transaction Alert
    Shoppers using self-checkout systems are often in a hurry and do not realise they forget to go through all the steps and receive a confirmation before their transaction is finalised. As a result, reta …
    ExpertVision AI | Shelf Sweep Alert
    High-probability fraudulent intentions can be detected early when a shopper takes an unusually large quantity of an item from the shelves. Our system identifies these instances and sends an alert to e …
    5 Results
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