Lexius turns existing retail security cameras into AI systems that detect shoplifting in real time. The product also supports traceback search, known offender recognition, fall detection, and custom safety alerts. Website examples cite Erewhon and Nisa, with reported savings of $3,000 per store monthly and 60 hours saved weekly per person.
Alert staff to suspicious behavior in real-time; Review concise video clips of theft incidents; Automate surveillance without additional staff; Protect revenue by reducing theft; Maintain compliance with legal standards
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Lexius offers an AI-driven shoplifting detection service that utilizes existing camera systems to provide real-time alerts to retail staff. Key features of their service include:
Real-Time Shoplifting Detection: The system analyzes video feeds from existing cameras to detect potential shoplifting incidents as they occur, allowing for immediate response.
Instant Alerts: Retail staff receive instant notifications when a potential theft is detected, enabling them to take action quickly.
Traceback Search: Users can perform traceback searches across all camera feeds to review incidents and gather evidence.
Fall Detection and Liability Protection: The system also includes features for detecting falls, which can help in managing liability and ensuring customer safety.
Privacy Focus: Lexius emphasizes privacy by not accessing store footage or analyzing personal characteristics, ensuring compliance with privacy regulations.
The benefits of using Lexius's service include enhanced loss prevention, improved safety for customers and staff, and the ability to protect retail revenue without the need for additional hardware.