How Does The Food Delivery Robot Recognize Whether There Is A Person in Front Of The Machine in The Target Area

Informatization and intelligence are the general trend of the future industrial development, so are take-out delivery and express delivery. However, "machine replacement" can not be realized in the whole industrial process overnight. In reality, the way of "replacement" is often realized step by step with industrial upgrading. As the pandemic continues, more restaurants seem to be using robots to deliver food instead of waiters. During the epidemic prevention and control period, the robot has shown obvious advantages in the robot hotel food delivery, which can not only avoid cross-infection caused by personnel contact, effectively isolate the source of infection, but also improve the efficiency of epidemic prevention and control and ensure the safety of epidemic prevention personnel. The following small edition of the industrial production network and everyone to see how the food delivery robot works.

How does the food delivery robot recognize whether there is a person in front of the machine in the target area

Room robot is mainly controlled by the chip, through programming, remote control, such as LCD screen dialing instructions, set up to provide customers with services such as operation, on the independent catering, not only requires the robot accurately identify and seize the forms the bento or items, also need to be able to, based on machine vision or force sensor aided positioning items and place, Thus, the "fast, quasi-stable" placement is finally realized, which has strong and reliable performance requirements for the cooperative robot ontology, vision system and force control claw. At present, the robot positioning is mostly by magnetic induction technology, magnetic induction technology flexibility is relatively good, change and expansion path is also relatively easy, laying is relatively simple, the ground is set with a two finger wide black magnetic strip, this is the optical induction magnetic strip, which is the robot walking navigation bar. A worker simply places a customer's order on a plate carried by the robot, then relays the instructions to the robot, which will accurately deliver the meal to various tables or suites in the hall according to the seat number.

When the food delivery robot delivers the food to the target position, when the food delivery robot reaches the target position, the food delivery robot sends infrared signal within the target range, and the infrared signal carries the location information of the food delivery robot. Although infrared ray carries position information, it cannot perceive whether the person is in front of the machine, and does not identify whether the person is in front of the machine. MaxBotix ultrasonic sensor is recommended to use the human body detection sensor - MB1004.

How does the food delivery robot recognize whether there is a person in front of the machine in the target area

MaxBotix ultrasonic sensor - MB1004 is a special proximity sensor with high and low level alarm signal output, the measurement range can reach 213cm, suitable for pedestrian detection, parking detection and so on. When a pedestrian enters the detection range, MB1004 will output an alarm signal from low level to high level. At the same time, it also has the function of output target specific distance, through RS232 output range data. MB1004 is a very low cost ultrasonic sensor for human detection.

MaxBotix ultrasonic sensor Human body detection sensor MB1004 Advantages:

The cost is low

Up to 20 sensors can be used simultaneously in the same environment

Reliable approach distance information

Act as rangefinder at the same time (still report the rangefinder information in the serial port)

The circuit board is equipped with assembly holes

Fast measurement cycle

Extremely low power consumption makes it ideal for multi-sensor operations or battery-powered systems.

The output allows the user to release the processor at any time

Serial data, 0 ~ Vcc, baud rate 9600 81N time to obtain reliable proximity information

The user can select any output

Can be triggered internally or externally