
VL53L7CHV0GC/1
ActiveARTIFICIAL INTELLIGENCE ENABLER, TIME-OF-FLIGHT (TOF) 8X8 MULTIZONE SENSOR WITH 90 DEGREES FOV
Deep-Dive with AI
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VL53L7CHV0GC/1
ActiveARTIFICIAL INTELLIGENCE ENABLER, TIME-OF-FLIGHT (TOF) 8X8 MULTIZONE SENSOR WITH 90 DEGREES FOV
Deep-Dive with AI
Technical Specifications
Parameters and characteristics for this part
| Specification | VL53L7CHV0GC/1 |
|---|---|
| Operating Temperature [Max] | 85 °C |
| Operating Temperature [Min] | -30 ░C |
| Output Type | I2C |
| Sensing Distance | 137.8 in |
| Sensing Distance | 350 cm |
| Voltage - Supply [Max] | 3.3 V, 3.6 V |
| Voltage - Supply [Min] | 2.5 V, 3 V |
Pricing
Prices provided here are for design reference only. For realtime values and availability, please visit the distributors directly
| Distributor | Package | Quantity | $ | |
|---|---|---|---|---|
| Digikey | N/A | 3130 | $ 8.74 | |
Description
General part information
VL53L7CH Series
The VL53L7CH is the perfect Time-of-Flight sensor enabling AI applications, with ultrawide 90° diagonal FoV and low power consumption. 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 VL53L7CH 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, 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 ST 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.
Documents
Technical documentation and resources