Dragonfruit AI

Dragonfruit AI Employees

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Dragonfruit AI Company Information

Dragonfruit AI provides a comprehensive suite of AI-powered video analytics applications designed for various industries, including retail, venues, and facilities. The company offers solutions for monitoring, analyzing, alarms, and compliance through advanced computer vision technology. Dragonfruit AI’s platform includes 19 different apps that can be used à la carte, allowing businesses to choose only the solutions they need. These solutions are designed to work with existing camera systems, eliminating the need for new hardware. Leveraging the Apple M1 chip and Generative AI, Dragonfruit AI enhances video data analysis and offers a Video Management Plus (VMS+) system that integrates with existing video management services for enhanced functionality. The platform is built for scalability, allowing deployment across thousands of locations with a centralized view. Features include foot traffic mapping, intrusion detection, AI-powered marketing, and merchandising insights. Dragonfruit AI provides real-time alerts and advanced analytics for applications such as theft detection, PPE compliance, and queue wait times. The company offers compliance monitoring apps to ensure adherence to safety and regulatory standards, delivering fast ROI with minimal bandwidth and hardware requirements. Partnering with leading global brands and retailers, Dragonfruit AI harnesses the power of video data. The company has a robust portfolio of patents and a worldwide presence. Its solutions include advanced detection capabilities for fire, smoke, visible weapons, and liquid spills. Dragonfruit AI offers a cloud-based storage solution with in-built remote monitoring for high-powered video management and AI analytics. The platform includes a digital forensics suite for faster and more thorough incident investigations. Additional features include a traffic and people counter app for real-time insights and video AI analysis, a retail insights app for gathering data on customer behavior and preferences, a self-checkout fraud detection system, and a truck turnaround and license plate recognition (LPR) analytics app to optimize loading dock operations and supply chain management.

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