TOF Sensor

TOF-DL Time Of Flight Measurement Series With Analog Output
Ramco Innovations Inc
The TOF-DL series is the world\'s smallest time of flight laser sensors with analog output. This ultra-compact laser distance laser sensor is capable of measuring at distances up to 2.5 meters. With the built-in digital display, set-up is simple. The TOF-DL is perfect for applications requiring height and target distant control, such ...


Working Distance: 0.25-2.5m
Wavelength: 650 nm
Output Power (ave): 390 uW
Spot Size: 10 mm
Data Sheet

Frequently Asked Questions

Time-of-Flight (ToF) Sensors are devices that measure the time it takes for light to travel to an object and back to the sensor, allowing for distance and depth measurements. They emit short pulses of light and detect the reflected light to calculate the distance based on the time-of-flight principle. ToF sensors provide non-contact, fast, and accurate depth sensing capabilities, making them suitable for applications such as 3D imaging, gesture recognition, robotics, and augmented reality.

Time-of-Flight (ToF) Sensors work by emitting a light pulse, usually in the form of infrared light, and measuring the time it takes for the light to return to the sensor after reflecting off an object. By knowing the speed of light, the sensor can calculate the distance based on the time delay. ToF sensors typically use modulated light and employ specialized algorithms to filter out ambient light and improve accuracy in distance measurement.

ToF Sensors offer several advantages, including fast and accurate distance measurements, non-contact operation, robustness to ambient lighting conditions, and the ability to capture real-time 3D depth information. They are compact, energy-efficient, and provide reliable depth sensing capabilities for a wide range of applications, including robotics, autonomous vehicles, object detection, gesture recognition, and indoor navigation systems.

Yes, ToF Sensors can work in outdoor environments. However, the performance may vary depending on the specific sensor model and environmental conditions. To ensure reliable operation in outdoor settings, it is important to choose ToF sensors that are designed for outdoor use, have suitable range capabilities, and are resistant to factors such as temperature variations, humidity, and direct sunlight. Additionally, consider the desired distance range and the presence of potential obstacles in the outdoor environment for accurate depth measurements.

When selecting a ToF Sensor, consider factors such as the required distance range, measurement accuracy, field of view, operating conditions (indoor or outdoor), and compatibility with the desired interface or communication protocols. It is also essential to evaluate the sensor's integration complexity, power requirements, and any additional features that may be necessary for your specific application. Additionally, review product specifications and consult with manufacturers or suppliers to ensure the chosen ToF sensor meets your application requirements.

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Did You know?

Did you know that Time-of-Flight (ToF) Sensors enable fast and accurate depth sensing by measuring the time it takes for light to travel to an object and back? ToF sensors emit short pulses of light, often in the form of infrared light, and calculate the distance based on the time-of-flight principle. These sensors are widely used in various applications, including 3D imaging, gesture recognition, robotics, and augmented reality. ToF sensors provide non-contact and real-time depth measurements, allowing for the capture of 3D information and enabling precise object detection and tracking. They offer advantages such as fast response times, accurate distance measurements, robustness to ambient lighting conditions, and compact form factors. While ToF sensors can be used in outdoor environments, it's important to select models designed for outdoor use and consider factors such as the desired distance range, measurement accuracy, and resistance to environmental factors. ToF sensors are key components for advanced depth sensing applications, revolutionizing fields such as robotics, computer vision, and human-machine interaction.