# VL53L8CX

**Repository Path**: CoreMaker/VL53L8CX

## Basic Information

- **Project Name**: VL53L8CX
- **Description**: VL53L8CX_STM32H503CB
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2024-12-01
- **Last Updated**: 2025-09-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


# Overview
- **Name**: VL53L8CX-V1.0
- **MCU**: STM32H503CBT6
- **IDE**: STM32CUBEMX+KEIL


# Buy Link
[https://shop192352884.taobao.com/](https://shop192352884.taobao.com/)




# Image


![image](https://github.com/user-attachments/assets/59d2dd5a-13a2-4be7-bf00-286f21568311)

![image](https://github.com/user-attachments/assets/170a33af-ae2f-4926-8994-059b66530718)

![image](https://github.com/user-attachments/assets/284d0081-bd41-4202-87cb-e647991030d3)




# Contact Information

- **Name**: Billy
- **交流群**: 925643491
- **Email**: a845656974@outlook.com
- **Phone**: +86 15622736378
- **CSDN Blog**: [Blog](https://blog.csdn.net/qq_24312945)
- **Video**: [Video](https://space.bilibili.com/26152390)



# Project Introduction
- **STM32H503CBT6_VL53L8CX_Project1**:VL53L8CX小板开发(1)----驱动TOF进行区域检测
- **CSDN Blog**:[https://blog.csdn.net/qq_24312945/article/details/144171581](https://blog.csdn.net/qq_24312945/article/details/144171581)

VL53L8CX是一款8x8多区域ToF测距传感器，它在环境光下能够在降低功耗的同时增强性能。该传感器基于意法半导体的FlightSense技术设计，能够提供最高400 cm的精确测距，并具有65°对角线视场。
VL53L8CX集成了功能强大的新一代VCSEL，以及两个先进的超表面镜头。硬件封装在创新的“一体化”模块中。这使得它能够适用于更广泛的高性能应用场景，如低功耗系统激活、手势识别、机器人SLAM、液位监控等多种用途。
VL53L8CX采用意法半导体的专利算法，可以检测和跟踪视场内的多个目标，具有64区域深度测量能力。意法半导体的直方图确保盖片玻璃串扰抗扰度超过60 cm。
与所有基于意法半导体FlightSense技术的ToF传感器一样，VL53L8CX能够测量绝对距离，不受目标颜色和反射率的影响。
VL53L8CX支持SPI和I²C接口，确保高频帧率和短启动时间。
VL53L8CX的VCSEL发射940 nm的完全不可见红外光。这种VCSEL具有1级认证，对眼睛是安全的。使用VL53L8CP可以进行场景浏览和多区域检测。这归因于软件可定制的检测阵列。它能快速且低功耗地检测到人体存在。此类检测被称为微深度图。

VL53L8CX is an 8x8 multi-zone ToF distance sensor that enhances performance while reducing power consumption under ambient light. Designed based on STMicroelectronics' FlightSense technology, it offers precise distance measurement up to 400 cm with a 65° diagonal field of view.

The VL53L8CX integrates a powerful new generation VCSEL and two advanced metasurface lenses, housed in an innovative 'all-in-one' module. This design makes it suitable for a wider range of high-performance applications such as low-power system activation, gesture recognition, robot SLAM, liquid level monitoring, and more.

STMicroelectronics' patented algorithms enable the VL53L8CX to detect and track multiple targets within the field of view, with 64-zone depth measurement capability. The histogram algorithm ensures glass cover crosstalk immunity over 60 cm.

Like all ToF sensors based on STMicroelectronics' FlightSense technology, the VL53L8CX can measure absolute distances, unaffected by target color and reflectivity.

The VL53L8CX supports SPI and I²C interfaces, ensuring high frame rates and short startup times. Its VCSEL emits completely invisible 940 nm infrared light, which is Class 1 certified and safe for the eyes. Using VL53L8CP allows for scene browsing and multi-zone detection, thanks to a software-customizable detection array. It can quickly and efficiently detect human presence, known as a micro-depth map.





# Project Introduction
- **STM32H503CBT6_VL53L8CX_Project2**:VL53L8CX小板开发(2)----设置自主模式
- **CSDN Blog**:[https://blog.csdn.net/qq_24312945/article/details/144174278](https://blog.csdn.net/qq_24312945/article/details/144174278)


“自主模式”（Autonomous mode）通常指的是设备或系统能够在没有外部输入的情况下独立完成任务。对于传感器，如VL53L8，自主模式可能意味着传感器可以独立、定期地进行测量，而不需要来自主控制器或主机的每一次单独指令。

"Autonomous mode" typically refers to a device or system's ability to perform tasks independently without requiring external input. For sensors like the VL53L8, autonomous mode means that the sensor can independently and periodically perform measurements without needing a separate instruction from the main controller or host for each individual measurement. In this mode, the sensor is capable of handling tasks like distance measurement and data processing on its own, which helps to reduce the dependency on external systems and optimizes overall performance, especially in power-sensitive applications.