Prevent theft in your store proactively without compromising privacy, using Sirix’s innovative shoplifting detection AI that identifies suspicious gestures, not faces, ensuring compliance with privacy laws.
Retailers in Canada are losing up to $5 billion yearly to shoplifting, a problem intensified by recent economic hardships. To strengthen retail security, sirix addresses this with a groundbreaking AI that detects shoplifting through gesture recognition, not faces. This approach offers a simple, effective, and privacy-respecting solution to protect stores and their customers in these challenging times.
AI detects dubious gestures and triggers a video alarm, alerting Sirix operators to assess and respond to threats.
A skilled operator analyzes the footage, swiftly evaluating the scenario for effective decision-making and response.
Confirming shoplifting, the operator issues a coded announcement over the store's speakers to alert employees swiftly.
The store employee approaches the suspected shoplifter and offers them assistance or a cart, thereby stopping the crime before it causes any harm.
The report of the event, which includes images, clips, and operator notes with timestamps, is saved to the customer portal for future reference.
As a result, our AI solution effectively deters shoplifting, creating a safer environment for customers and staff, and reducing financial losses for store owners.
Our AI solution instantly flags typical shoplifting behaviors, triggering real-time video monitoring alerts at Sirix operator workstations for prompt evaluation and response.
When the customer places the item in a backpack, handbag, or purse, an alert is set off to the remote video alarm receiving center.
With Canada losing significant amounts of money each year to shoplifting and traditional methods catching only 5% of thefts, see why Sirix’s shoplifting detection AI is the solution you need.
Sirix's AI swiftly identifies suspicious behaviors for effective shoplifting prevention with prompt responses.
By distinguishing between normal shopping behavior and actual theft, Sirix's shoplifting detection AI reduces false alarms, ensuring alerts are meaningful.
The reduction in theft incidents over time translates into significant financial savings, offering a strong return on investment.
Sirix's solution is adaptable for businesses of any size, providing consistent and scalable security as your retail operations grow.
Sirix provides round-the-clock monitoring, thanks to our dedicated operators working 24/7 for uninterrupted security.
The presence of Sirix's AI solution can deter potential shoplifters, enhancing the security of your store.
Our AI system prioritizes privacy by focusing on actions, not faces, thus alleviating privacy concerns unlike facial recognition technologies.
With its high accuracy, our system gives staff confidence and allows them to focus on customer service and other tasks, knowing security is handled.
The more situations the AI encounters, the more adept it becomes at recognizing shoplifting gestures, continuously improving its effectiveness.
Expert operators quickly use insights from our top security tech on innovative anti-theft solutions.
Sirix’s shoplifting detection AI solution can detect suspicious activity quickly and alert Sirix’s security operations center operators for real-time human validation. It identifies theft by analyzing millions of potentially fraudulent gestures. After being trained with a large amount of data, the algorithm is excellent at detecting thefts.
This shoplifting detection AI solution goes beyond basic facial recognition functionality by examining various human behavioral characteristics such as movement patterns, gestures, and actions.
This tool provides detailed analysis and useful information prior to the theft.
Unlike facial recognition technologies, shoplifting detection AI examines behavioral patterns and actions rather than identifying specific people.
The algorithm recognizes a store employee in charge of cleaning based on their outward appearance (uniform), the items they handle (boxes, carts, etc.), and their distinctive gestures from those of the customers. Therefore, they should not generate alarms.
However, in rare cases, an alarm can be generated if the employee is not wearing a uniform and the gesture strongly resembles a theft gesture.
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