This paper introduces an intelligent image recognition system integrated into a wheelchair based on deep learning in cold environments,aiming to improve the convenience and safety of disabled individuals.The system ad...This paper introduces an intelligent image recognition system integrated into a wheelchair based on deep learning in cold environments,aiming to improve the convenience and safety of disabled individuals.The system adopts advanced image recognition technology to monitor road conditions in real-time through the camera and to detect and measure distance to foreign objects on the road.The system visualizes the detection results on the wheelchair screen to assist the user in avoiding and improving the safety of their daily travel.In addition,the system also includes crawler tracks,seat heating,snow and rain protection,and other functions.The wheelchair has a wide range of application prospects and development potential.It is expected to be widely used in the future,providing a strong guarantee for the safe travel of disabled individuals in China.展开更多
This paper introduces the Arduino NANO-based crawler vehicle rescue robot,including the traveling device.The traveling device includes an electrical screw jack,a power mechanism,a power supply,a camera,a curved snow s...This paper introduces the Arduino NANO-based crawler vehicle rescue robot,including the traveling device.The traveling device includes an electrical screw jack,a power mechanism,a power supply,a camera,a curved snow shovel,a lighting device,and a control circuit.The control circuit is connected to the power supply,camera,lighting device,power unit,and electrical screw jack.The beneficial effect is that the control circuit can accurately control the height of the jack to ensure an effective rescue,power the rescue device and electronics,and effectively improve the efficiency of rescue.展开更多
文摘This paper introduces an intelligent image recognition system integrated into a wheelchair based on deep learning in cold environments,aiming to improve the convenience and safety of disabled individuals.The system adopts advanced image recognition technology to monitor road conditions in real-time through the camera and to detect and measure distance to foreign objects on the road.The system visualizes the detection results on the wheelchair screen to assist the user in avoiding and improving the safety of their daily travel.In addition,the system also includes crawler tracks,seat heating,snow and rain protection,and other functions.The wheelchair has a wide range of application prospects and development potential.It is expected to be widely used in the future,providing a strong guarantee for the safe travel of disabled individuals in China.
文摘This paper introduces the Arduino NANO-based crawler vehicle rescue robot,including the traveling device.The traveling device includes an electrical screw jack,a power mechanism,a power supply,a camera,a curved snow shovel,a lighting device,and a control circuit.The control circuit is connected to the power supply,camera,lighting device,power unit,and electrical screw jack.The beneficial effect is that the control circuit can accurately control the height of the jack to ensure an effective rescue,power the rescue device and electronics,and effectively improve the efficiency of rescue.
