Effective baggage tracking is crucial for passenger satisfaction and operational efficiency. Armitage's Edge AI Computer Vision improves baggage handling through real-time monitoring and intelligent analysis, reducing the chances of lost luggage and streamlining operations for quicker staff responses to disruptions.

• Real-time Monitoring

Cameras on baggage conveyors track luggage flow and provide real-time status updates. Armitage’s Edge AI enables quick identification of issues like delays, allowing for prompt corrective actions. This vigilance helps minimize the risk of misrouted or lost baggage.

• Count Optimization

Multi-algorithms automatically count baggage on conveyor systems, ensuring accurate tracking and reducing human error. This data helps station operators optimize resource allocation based on passenger flow.

• Luggage Drop Detection

Armitage’s Edge AI computer vision allows cameras to detect fallen luggage on baggage conveyor belts, enabling staff to quickly retrieve and return bags, preventing delays.

• Empty Tray Detection

Armitage’s Edge AI computer vision detects empty trays on the luggage conveyor belt, alerting personnel for quick action. This reduces downtime and promotes effective tray reuse, ensuring uninterrupted conveyor operation.

Integrating Armitage’s Edge AI Computer Vision into baggage handling improves depot efficiency and enhances the travellers’ experience. Automation minimizes human error, ensuring accurate and prompt luggage management, leading to reduced delays and better service. Travelers benefit from greater reassurance, quicker bag access, and an overall improved journey.