Gravity: 8×8 Matrix 3D ToF Distance Sensor (64 Zones, I2C/UART/USB, 3.5m, 60° FOV)
- $21.50 3+ items
- $21.00 5+ items
- $20.00 10+ items
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Introduction
The Gravity 8×8 Matrix ToF Distance Sensor combines a VL53L7CX ranging sensor with an onboard RP2040 running the module firmware. Instead of returning one distance, it provides a grid of measurements across 64 zones, helping a connected controller determine where nearby objects appear within the sensing field. Use the depth data to develop obstacle detection, zone-change monitoring and interactive projects. With support for Arduino, micro:bit, ESP32, Raspberry Pi, and LattePanda, it enables the development of advanced applications such as intelligent obstacle avoidance, contactless gesture control, and immersive interactive installations.
Figure: DFRobot 8x8 64-Pixel Matrix ToF Sensor provides intelligent obstacle avoidance for robots
3D Depth Perception at the Perfect Balance Point
A single-point sensor reports distance in one direction. An 8×8 matrix shows how distance varies across the sensing field, providing spatial information for detecting nearby obstacles or changes in selected zones. The low-resolution depth map is useful for projects that need more spatial detail than a single distance reading. It is not a camera image or a ready-made object classification result.
Unmatched Compatibility for Maker Projects
This Matrix ToF proximity sensor was built for the way makers work, designed to connect to virtually anything in the workshop.
Figure: Supported Platforms of DFRobot 8x8 64-Pixel Matrix ToF Sensor
Expandable Platform for Advanced Development
In addition to plug-and-play use, the 64-Pixel Matrix ToF Vision Sensor can serve as a flexible development platform. Its onboard RP2040 processor allows developers to load custom firmware or run lightweight machine learning models (TinyML), making it possible to recognize specific gestures, detect movement patterns, or add new features directly on the sensor itself. With open-source schematics and comprehensive documentation, the module can be tailored for advanced robotics, IoT, and AI-driven applications, offering far more than a fixed-function sensor.
Figure: DFRobot 8x8 64-Pixel Matrix ToF Sensor onboard RP2040 processor
Applications
Specification
Sensor Parameters
Power Supply Parameters
Data Interface
Shipping List
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Review
Jul 09, 2026
I'm still working on getting the most out of this, but I have worked through all of the functionality. It's not just that it does what it says it does that makes this sensor so good. It's the data that it produces. It gives a grid of data for all 64 points which is rather rich. Better than that though, it is fast and very accurate. I'm using a Pi 02W to operate it and I'm working on a system which will analyse the data as it flows and I can pattern match the movement directionally. There will be two of these at the front of my property and I will be able to see when a person enters the proprty, where they start from and the direction(s) that they walk in. The sensor itself doesn't give me all of that, the Pi does, but I couldn't achieve that without the rich, fast, accurate data flow. I cannot find a similar sensor at this price which can do this well.
Aug 07, 2026
I bought two of these sensors for experimental presence and obstacle detection with a Raspberry Pi Zero W. The hardware and basic integration have been good. Both sensors can operate on the same I²C bus using different selectable addresses, and I was able to read independent 8×8 distance matrices from both in a single Python process. The onboard RP2040 appears to take care of much of the low-level sensor handling, which makes the module considerably easier to experiment with than a bare ToF array. At short indoor distances, the sensors detect nearby objects clearly and provide useful spatial information rather than just a single distance value. They are particularly interesting for projects where you want to detect which part of an area has changed, rather than merely whether something is present. There are important limitations, however. In my outdoor testing, direct daylight caused most cells to report the maximum distance, with little or no response even when a person walked beneath the sensors. Performance improved in a more sheltered position, but remained much less reliable than the indoor results. Infrared illumination from security cameras may also interfere with this type of sensor at night, so placement and surrounding equipment need to be considered carefully. The 60-degree field of view and quoted maximum range should not be interpreted as guaranteed detection across the whole cone. Object material, angle, reflectivity, ambient infrared light and the size of the target all make a substantial difference. Dark, angled or partly transparent objects may appear in fewer cells than expected. Overall, I think this is a very useful and enjoyable development sensor, especially for indoor experimentation, short-range mapping and zone-change detection. It is easy to connect, supports multiple units on one bus and produces much richer data than a conventional single-point distance sensor. I would not recommend relying on it as a primary outdoor human-presence detector without extensive testing in the intended lighting conditions.
Jul 21, 2026
Excellent product!!!