How It Works

When we receive an image via our API, no matter where along the journey it is captured, the BagsID Network is triggered. Our proprietary algorithm then classifies the baggage and applies business rules to match it to a registered image-set in our library with the highest probability. BagsID sends back metadata including origin, type, color, IATA classification, manufacturer and dimensions of the baggage.

Even if the item is damaged or its shape or appearance is slightly altered along the journey, through sophisticated business rules (such as your unique travel itinerary) our system can recognize, match it and learn from it. Most importantly, it uses linked data for tracking, tracing and reconciliation with the use of existing infrastructure and without expensive RFID tags. We know that not every trip goes as smoothly as planned –flights are delayed, baggage gets forgotten, any number of variables can impact successful delivery. Use existing airport services, such as our integration with World Tracer and lost-and-found systems, BagsID helps alleviate these hassles for airports, airlines and travelers alike.

Mission + Vision

“We are only at the very beginning of redefining the future of traveling with baggage. Computer vision and AI will prove crucial for airports and airlines, providing one secure, reliable and interoperable network for baggage identification. Visual AI will enable a more efficient and more comfortable user experience, along with the ability to comply with IATA 753, and other industry regulations and resolutions, at a fraction of the cost of RFID.”

Meet the Leadership Team

We are a team of experienced entrepreneurs, logistical experts, data-scientists, software architects, engineers, distributed system experts, and world-class coders bringing the power of deep learning and computer vision to airports and airlines. Each member has experience building and scaling multiple technology companies, projects and major implementations.

Global Communications Director

Adrienne Denaro

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