Transcript
Some of the latest advancements in industrial presence sensors reflect a growing trend toward increased accuracy, efficiency and adaptability in harsh industrial environments. Newer technologies are expanding the range of applications, from basic proximity detection to more complex systems that enable machine vision, robotics and autonomous operations to be more effective. However, each of these new technologies also comes with certain limitations. Here’s an overview of some of the latest technologies and their pros and cons.
Radar-based sensors use electromagnetic waves—radio waves—to detect the presence of objects, similar to how radar systems work in aviation and automotive applications. As with all these sensors, they are non-contact, which reduces wear and tear compared to mechanical switches and also reduces the need to clean the sensors, which saves on downtime, labor and materials for cleaning.
Radar sensors are very insensitive to environmental conditions, so they work in harsh conditions, including extreme temperatures, dust, humidity and direct sunlight.
They have high accuracy and range. Radar can detect objects at longer distances—up to tens of meters—and is highly accurate in determining the position of both static and moving objects.
Radar can penetrate non-metallic objects, such as packaging or containers, enabling detection through barriers.
Radar sensors tend to be more expensive than simpler proximity sensors like inductive or capacitive sensors.
And the signal processing required to interpret radar data can be complex, requiring more sophisticated software and hardware.
Although radar provides good distance information, it may not have the same resolution for fine detail detection compared to vision-based sensors.
Unlike radar, which uses radio detection, lidar sensors use laser pulses to scan the environment and measure distances, creating detailed 3D representations of the surroundings.
Lidar provides accurate distance measurements with high resolution, making it ideal for detailed mapping and object detection.
Lidar can capture a full 3D map of the environment, detecting objects in multiple dimensions—height, width and depth.
It is suitable for dynamic environments. Lidar is highly effective for detecting moving objects, such as vehicles or people, in environments with varying layouts.
Lidar can cover large areas and work in both indoor and outdoor settings, making it useful for warehouses, manufacturing plants and autonomous vehicles.
Lidar systems are often more expensive compared to other types of presence sensors like ultrasonic or infrared sensors.
Lidar performance can degrade in adverse weather conditions, such as heavy rain, fog or direct sunlight, which can scatter laser beams.
Lidar systems generate a large amount of data, requiring powerful processing capabilities and advanced algorithms for real-time analysis.
Time-of-flight sensors work by measuring the time it takes for a light signal, usually infrared, to travel to an object and back, calculating the distance based on this time delay.
Time-of-flight sensors can measure distances with millimeter-level accuracy and can work over long distances, up to several meters.
Compared to other sensing technologies like lidar, time-of-flight sensors are typically more compact and cost-effective. They can provide real-time data and are suitable for fast-moving objects.
Time-of-flight sensors, particularly those using infrared light, can be affected by ambient light conditions, especially in bright environments.
While accurate at detecting distances, time-of-flight sensors may struggle to provide high resolution in detecting small or intricate objects. And the sensors may not work as well when detecting through materials, such as opaque barriers, compared to radar-based sensors.
Infrared sensors detect the heat emitted by objects and can identify the presence of warm bodies or objects, particularly through passive infrared (PIR) sensors.
IR sensors, especially passive IR, or PIR, sensors, are relatively inexpensive and easy to deploy.
PIR sensors are commonly used in energy-saving applications, such as automatic lighting systems, since they only activate in response to movement.
IR sensors are typically small and can be easily integrated into various systems without taking up much space.
PIR sensors typically have a relatively short range—several meters—and are limited by their detection angle, which can be problematic in large spaces or when precise location detection is needed.
IR sensors may struggle in very hot or cold environments, as the temperature differences between the target and the background become less significant.
PIR sensors are primarily used for detecting movement, making them unsuitable for applications where continuous or static presence detection is required.
These latest technologies in industrial presence sensors provide an impressive range of capabilities, each suited for specific applications. While advancements in radar, lidar, time-of-flight and infrared sensors have enabled more accurate, reliable and flexible systems, the choice of sensor technology depends on the application’s specific requirements, environmental conditions and cost considerations. Each technology comes with its own set of advantages and limitations, which must be carefully considered when designing industrial systems.
