An AI-powered alarm system that uses object detection to alert security personnel in real-time. The system is mobile-enabled and provides customized access controls to manage potential intruders and suspicious behavior patterns. The solution delivers automated alerts to store personnel to respond to security incidents.
Early Access. An AI-driven theft detection system that uses computer vision techniques like object detection and tracking to detect and track shoplifters in real-time. The system identifies suspicious customer behavior and provides real-time alerts to store personnel and loss prevention teams. The solution also integrates with RFID sensors and other security measures for comprehensive coverage.
Early Access. An advanced self-checkout technology that uses camera-based detection of products, swipes, and suspicious behavior to prevent fraud. The system leverages vision AI techniques like facial recognition (where appropriate) to verify customer identity and prevent fraud. The solution delivers automated alerts to store personnel and loss prevention teams.
A system that uses advanced machine learning models to detect anomalies and patterns in POS data. Real-time alerts based on AI-based analysis of client and associate engagement (e.g., customer present) and respond to outlier transactions. The solution provides automated alerts to security guards for timely response.
A system that uses advanced computer vision techniques to detect potential slip and fall hazards in real-time. The solution tracks the person through the store prior to a slip and fall incident, auto archives the incident to manage liability, and provides the ability to annotate the incident. Automated alerts to store personnel and maintenance teams are sent for quick response.
A system that uses advanced computer vision techniques to detect and alert ongoing monitoring for potential risks including crowd formation, unattended bags, blocked egresses, and safety equipment. The solution delivers automated alerts to store personnel and maintenance teams for quick response. Vision AI analysis of customer behavior identifies potential safety hazards and patterns to prevent accidents. The solution integrates with access control systems and alarms for comprehensive safety coverage.
A real-time detection and alerting system that uses advanced computer vision techniques to monitor and detect violations of OSHA regulations, such as blocked walkways or lack of standard safety gear (e.g., vests, glasses). The solution delivers automated alerts to store personnel and compliance teams for timely response. Vision AI analysis of customer behavior identifies potential safety hazards and patterns to prevent accidents.
A system that uses advanced computer vision techniques to detect and track violent behavior and weapons in real-time. The solution provides real-time alerts and access control lock down to prevent violence and escalation. Vision AI analysis of customer behavior and crowd formation identifies potential safety hazards and patterns to prevent accidents. The solution integrates with alarms and emergency response systems for comprehensive safety coverage.
A real-time detection and alerting system that uses advanced computer vision techniques to detect various types of liquid spills including water. The solution provides automated alerts to store personnel and maintenance teams for quick response. Vision AI analysis of customer behavior identifies potential spill hazards and patterns to prevent accidents.
An AI-powered alarm system that uses object detection to detect smoke and fire in real-time. The system is mobile-enabled and provides customized access controls to manage potential safety hazards. The solution delivers automated alerts to store personnel and emergency response teams. Vision AI analysis of smoke and fire patterns helps to prevent accidents and optimize emergency response. The solution integrates with access control systems and emergency response systems for comprehensive safety coverage.
Early Access. A system that uses advanced machine learning models to analyze customer behavior (e.g., flow, engagement) in store to create customer segments. Leverages those segments to predict behavior of customers in store and to help store associates be more proactive and productive.
An automated A/B testing system that is based on floor plan analysis and provides direct ties to POS data. The system analyzes customer behavior to optimize product placement for higher sales. The solution integrates with other marketing tools such as customer segmentation to provide custom promptions.
A system that uses advanced machine learning models to analyze customer behavior and optimize the offline conversion funnel for higher sales. Real-time reporting and alerting features help store managers measure walk-bys to views to engagement to sales. Vision AI analysis of customer interactions with products and store layout optimization helps to maximize sales.
A system that uses advanced computer vision techniques to map customer journeys in real-time. Cross-camera tracking is tied to zones and occupancy metrics, engagement tracking, and POS integration for detailed analysis. Vision AI analysis of customer behavior optimizes store layout and marketing strategies for higher sales. The solution integrates with other marketing and sales tools for a personalized shopping experience.
Early Access. A system that uses advanced computer vision techniques to detect deviations from planograms in real-time. The solution provides automated alerting and reporting to ensure optimal stocking of items against targets. Vision AI algorithms identify the correct placement and positioning of products to optimize store layout and maximize sales.
A system that uses advanced machine learning models to optimize queue management and reduce wait times with real-time reporting and alerting. Real-time alerts on the number of people in the queue with estimated time to service, staff alerting to open new lines, and flow controls improve the customer experience. Vision AI analysis of customer behavior optimizes store layout and staffing for higher sales. The solution integrates with other inventory management tools such as planogram compliance.
Advanced machine learning models measure granular dwell time, count, engagement, and stop analysis at multiple levels of granularity in the store (e.g., zones, landmarks, aisles, end caps). This solution provides advanced visualizations and insights and integrates with many other use cases
A real-time shelf monitoring system that provides low / out of stock alerting and moved item alerts. Advanced machine learning models optimize inventory management and reduce waste with real-time reporting and alerting. The solution integrates with other inventory management tools such as planogram compliance.
Early Access. A camera-based system that provides time tracking, SOP compliance tracking, client interaction monitoring, and service time measurement. Advanced machine learning models analyze staff behavior and optimize scheduling and staffing levels for higher productivity, with real-time reporting and alerting.
A centralized video monitoring system that provides real-time search across the network with smart search based on subject/vehicle features. AI fast forward/review/summarization and advanced sharing features support investigations and case management. Vision AI analysis of video evidence supports investigations and case management. The solution integrates with third-party video and security systems for comprehensive coverage.
