How Dragonfruit AI scaled real-time computer vision with Qdrant

Dragonfruit AI has effectively scaled its real-time computer vision solutions by integrating the open-source vector search engine, Qdrant, into its platform, which transforms IP camera feeds into actionable insights for various enterprise applications such as security and operations. Utilizing a Split AI approach, Dragonfruit conducts real-time inference on-premises for efficiency and uses cloud services for data aggregation and search, thereby minimizing total costs and latency while maintaining existing customer infrastructure. Qdrant's per-collection configurability and efficient numeric formats have enabled Dragonfruit to manage diverse workloads efficiently, achieving real-time performance and cost-effective storage. This integration has allowed the rapid development of new AI agents for loss prevention and safety, broadening their market reach across multiple sectors. By leveraging Qdrant, Dragonfruit has optimized memory usage with float16 embeddings and enhanced throughput without sacrificing retrieval accuracy, demonstrating the operational synergy between tailored vector search and AI-powered analytics at an enterprise scale.