What is a Time of Flight Sensor?
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A TOF (Time of Flight) sensor uses the flight time of light to measure distances to objects. As well as being able to turn captured images into 3D images, it can also measure at a speed of 20 frames per second, allowing it to track the movement of objects three-dimensionally.
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Differences from a conventional camera sensor
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The use of extensive distance information enables the sensor to identify its peripheral environment.
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Time of Flight Sensor Features
Introducing the assembly type TOF Sensor,
a product that brings together
all of OMRON’s technologies.
Real-time 3D sensing of distance to humans or objects.
TOF method-based distance image sensor module.
Four Features of OMRON’s 3D TOF Sensor Module
Interfering light immunity
- Ambient light immunity equivalent to 100,000 lx!
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Its powerful ambient light immunity ensures stable detection performance free from saturation even in bright places. It is capable of delivering stable detection performance even in direct sunlight.
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Influence of sunlight
High precision
- ±2%(2m)
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Achieves high output accuracy for compensated signals.
The TOF Sensor outputs compensated signals to minimize control processing on the end user's actual machine.
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Distance accuracy in angle direction -
Distance accuracy
Long life
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- Long life equivalent to 5 years under continuous driving.
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According to OMRON’s research in March, 2020∗1
Long life is ensured thanks to OMRON’s proprietary circuit design, heat emission design and the adoption of LEDs for the emission elements.
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Interference prevention
- With interference prevention function (up to 17units)
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According to OMRON’s research in March, 2020∗2
Ideal for applications that require the use of multiple devices such as robots at the same time.
Time of Flight Sensor Example Applications
Ideal for applications that require extensive distance information. The inclusion of interference prevention function allows the use of multiple devices at once.
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AMR/ Service robots
Drop detection/
Environment recognitionPeriphery recognition/
Human recognition -
Logistics and conveyance
Volume and shape
measurementEmpty space detection
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Monitoring and observation
Behavioral understanding and observation
of patients under long-term care -
Automatic doors/elevators
Counting people and tracking traffic flows
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Ordering Information
Model | Detection principle | Detection range (white paper) |
NIR transmission filter | Minimum delivery unit |
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B5L-A2S-U01-010 | TOF | ![]() |
Available (Built-in) | 1 pc |
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