SparkFun Qwiic Mini ToF Imager - VL53L5CX

SparkFun Qwiic Mini ToF Imager - VL53L5CX is a 64-pixel Time-of-Flight (ToF) four-meter ranging sensor. This mini version comes with a 0.5-inch x 1-inch footprint that is half the size of the standard Qwiic VL53L5CX board. The VL53L5CX sensor is placed facing outward from an enclosure/chassis that allows Qwiic cables to be neatly tucked away. The VL53L5CX chip integrates a SPAD array, physical infrared filters, and diffractive optical elements (DOE). This integration provides the best-ranging performance in various ambient lighting conditions with a range of cover glass materials. This mini ToF imager is ideal for 3D room mapping, obstacle detection for robotics, gesture recognition, IoT, laser-assisted autofocus, and AR/VR enhancement.

Features

Multizone ranging output with either 4x4 or 8x8 separate zones
Autonomous low-power mode with interrupt programmable threshold to wake up the host
Up to 400cm ranging
60Hz frame rate capability
940nm invisible light Vertical-Cavity Surface-Emitting Laser (VCSEL)
Integrated analog driver emitter

63° diagonal square FoV using Diffractive Optical Elements (DOE) on both transmitter and receiver
3.3V operating voltage
0x52 I²C address
2x vertical Qwiic Connectors
0.5-inch x 1-inch dimensions

Applications

Gesture recognition
Liquid level control
Keystone correction for video projectors
Wide FoV and multizone scanning allows content management (load in trucks, tanks, waste bins)
Scene understanding
Multizone and multi-object distance detection enable 3D room mapping
Obstacle detection for robotics applications.
Laser Assisted Autofocus (LAF)

Enhances the camera AF system speed and robustness (especially in difficult low light or low contrast scenes)
Augmented reality/virtual reality (AR/VR) enhancement
Dual camera stereoscopy
3D depth assistance (multizone distance measurement)
Smart buildings and smart lighting (user detection to wake up devices)
IoT (user and object detection)
60Hz video focus tracking (allows optimization of continuous focus algorithm)