Object detection

Public transportation passengers travel with objects that require adequate space on-baord vehicles. Operators want precise information on some of these objects, such as wheelchairs and bicycles, to make fact-based decisions about the number and type of vehicles on certain routes. Passengers also want live details about available space to choose commutes that match their expectations of comfort and convenience. 

To improve performance without inflating costs, operators need:

• Precise data to optimize fleet size and type and improve route planning
• Live, accurate data about the number of bicycles and wheelchair on-board vehicles 
• Automated data capture tech compliant with evolving privacy standards

Xovis' 3D stereovision sensors do more than accurately count passengers—they automatically detect bicycles and wheelchairs using advanced Machine Learning. AI-powered, edge processing tech accurately detects bicycles and wheelchairs in real time. Operators can have a live view of the number and type of objects onboard vehicles. 

Market-proven Object Detection reduces the effort needed to capture an additional layer of insight, one that operators can use to maximize resource value. Xovis sensors have earned a strong reputation for: 

• Development of new features, including Object Detection 
• High accuracy in complex and crowded environments
• Precise data that can be used for analysis by various stakeholders 
• Meeting evolving privacy standards, even while detecting objects