In recent years, infrared thermal camera has been developed in many traditional fields. The combination of infrared thermal imager and robot has been applied to many industries such as fire protection, electric power, warehouse storage, etc., replacing the traditional manual operation, greatly improving the work efficiency and reducing the risk of accidents.

1. The Development of Delivery Robots

With the rapid development of e-commerce, the human cost of express delivery and food delivery has become an important payment cost of various platforms. Therefore, delivery robots have become the research direction of major companies. Some distribution robots carry out environmental monitoring through radar and sensors to automatically avoid road obstacles and pedestrians, accurately identify traffic light signals, and automate distribution. But delivery robots have many limitations, such as being unable to navigate at night; It is slow, and some have to be followed by staff to prevent the robot from tripping over. The distribution robot encountered obstacles in a single way, parking, avoidance, etc., which need to be improved.

2. Infrared Thermal Camera Used For Distribution Robot

Any object above absolute zero (-273℃) will emit infrared rays. By receiving infrared radiation from the object, the infrared thermograph displays a thermal image with temperature, turning invisible infrared radiation into visible images. Different colors of the image represent different temperatures.

The infrared thermal imager applied to the delivery robot can not be affected by visible light and bad weather, can also navigate at night, day and night can work normally. The infrared thermal imager can be used to make clear the situation around the road, which is convenient for the robot to judge. At the same time, the staff can also supervise in the office to find and deal with any accident in time.

Yoseen infrared thermal imager has stable performance, clear imaging, high sensitivity and suitable for a variety of harsh and complex conditions

Environment, whether applied to robots or other traditional industries, is a good choice!