Zenode.ai Logo
Beta
VL53L8CHV0GC/1
Sensors, Transducers

VL53L8CHV0GC/1

Active
STMicroelectronics

ARTIFICIAL INTELLIGENCE ENABLER, HIGH PERFORMANCE 8X8 MULTIZONE TIME-OF-FLIGHT (TOF) SENSOR

Deep-Dive with AI

Search across all available documentation for this part.

VL53L8CHV0GC/1
Sensors, Transducers

VL53L8CHV0GC/1

Active
STMicroelectronics

ARTIFICIAL INTELLIGENCE ENABLER, HIGH PERFORMANCE 8X8 MULTIZONE TIME-OF-FLIGHT (TOF) SENSOR

Deep-Dive with AI

Technical Specifications

Parameters and characteristics for this part

SpecificationVL53L8CHV0GC/1
Operating Temperature [Max]85 °C
Operating Temperature [Min]-30 ░C
Output TypeI2C
Sensing Distance157.48 in
Sensing Distance4 m
Voltage - Supply [Max]3.47 V
Voltage - Supply [Min]3.13 V

Pricing

Prices provided here are for design reference only. For realtime values and availability, please visit the distributors directly

DistributorPackageQuantity$
DigikeyN/A 3952$ 8.74

Description

General part information

VL53L8CH Series

The VL53L8CX is the perfect Time-of-Flight sensor enabling AI applications, with enhanced performance under ambient light with a wide 65° diagonal FoV. The compact and normalized histogram (CNH) innovative data output is specially designed for artificial intelligence (AI) applications requiring multizone raw data from a high performance multizone ToF sensor.

The IR signal measured in each zone is sent as raw data to the host through each bin of the histogram. Highly configurable, the user can program the resolution of the VL53L8CX up to 64 zones (8x8 zones), modify the histogram resolution up to 128 bins, and define the bin width. All this CNH data is transmitted to the host through I²C or SPI, up to 30 Hz, in addition to the standard processed data of the ToF sensor (ranging distance, signal level, reflectance etc.).

The CNH data transform STMicroelectronics' Time-of-Flight ranging sensor into a versatile optical sensor, which can enable endless AI-based applications. This CNH raw data sent to the host, on top of the standard ranging data, opens the door to many new applications beyond simple distance measurements. From solid material (carpet, wood, glass, mirror...) to gas or liquid (water, oil, chemical...), it becomes possible to detect the location and the size of a cup in a coffee machine or beverage dispenser, to sense the floor material for robotics, and develop advanced shape, motion, or hand posture recognition.