Object detection

Businesses have different reasons for wanting to know how and what type of objects enter and move across or around their premises. For example, public transportation operators often want to know the number of wheelchairs and bicycles on their vehicles to ensure proper ticketing and position staff to assist mobility-impaired passengers. A retailer may want to have the same information to better understand how potential customers arrive at their store or to ensure layout doesn’t hinder in-store mobility. In the case of shopping carts, a grocer or department store may have operational or premise liability concerns for wanting to count the number of carts.

Whatever the objectives, businesses benefit from real-time object counting because it helps:

• Optimize resource planning, be it the position of a bike rack or a larger train wagon
• Improve staff allocation based on the unique needs of visitors and passengers
• Promotes inclusion by showing business’ commitment to addressing mobility issues
• Improve layout and product positioning by showing when and how visitors use shopping carts

AI-powered, embedded processing tech from Xovis accurately detects bicycles, strollers, wheelchairs, and shopping carts in real time using advanced Machine Learning techniques. A live view of the number and type of objects helps businesses improve planning, leading to lower costs and better service.

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

• Developing 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