Autonomous robots make real-time decisions, relying on sensor data
Processor-integrated mmWave sensors for real-time decisions
Unaffected by dust, smoke, variable lighting, etc. From traditional industrial robotic systems to modern collaborative robots, all types of robots rely on sensors to generate and process large amounts of data.
This data is used by autonomous robots to make real-time decisions, enabling smarter incident management while maintaining productivity in dynamic, real-world environments.
▲ Figure 1: Millimeter wave (mmWave) detection around the machine
Monitor areas to facilitate real-time incident management
Bringing Intelligence to the Factory Edge with mmWave Sensors TI’s millimeter wave (mmWave) sensors can process data on the chip with an integrated processor to make real-time decisions. This integration allows the sensors to have a smaller design than some optical or vision-based sensors. A single sensor can detect multiple objects and process data, reducing overall system cost.
Immunity from environmental influences such as dust, smoke and variable lighting in the factory is another important consideration. mmWave sensors can operate under all these conditions, can be mounted behind a plastic case, and do not require an external lens, aperture, or sensor surface. These characteristics make mmWave sensors excellent for industrial sensing applications.
mmWave sensors that go beyond simple distance measurement Intelligent edge processing enables factory machines and robots to interact with people and reduce accidents.
mmWave sensors can be configured to monitor specific critical areas around a machine, define no-access zones and sound an alarm when a person approaches the area, and can even be segmented in detail so that the sensor reacts accordingly when a person is present or approaches the area.
As shown in Figure 2, depending on the proximity to the machine, it is displayed as safe (green), warning (yellow), and danger (red).
▲ Figure 2: A person slowly walks by the machine
When you pass, a danger signal comes on at 1m
mmWave sensors can accurately measure the distance to objects as well as the relative velocity of all obstacles based on their field of view. This feature allows the robot to take more predictable actions, such as stopping the machine based on the speed at which an object approaches the sensor.
Figure 3 shows how quickly the machine activates a warning for a hazard zone based on the speed of a person approaching the machine.
▲ Figure 3: The danger signal is (a) 1m when a person walks slowly
(b) Occurs at 2m when walking briskly
To improve productivity, machines should not stop working due to false alarm signals. Figure 4 shows how sensors accurately determine the orientation of a person using an integrated tracking algorithm. If a person moves away from the machine, the machine does not activate an alarm signal or take any other action.
▲ Figure 4: The direction in which the person moves away from the machine
I'm walking and the sensor doesn't show any danger signals
To simplify robot system design and shorten development time
Download the Area Scanner Integrated mmWave Sensor Reference Design using TI's
IWR6843 Evaluation Module .
This evaluation module operates in the 60 GHz frequency band and integrates a complete radar processing chain into the device.
This article is adapted from a piece by Prajakta Desai, mmWave Sensor Product Marketing Manager at Text Instruments.
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기사입력2019.12.04 09:01
