SparkFun Qwiic Mini ToF Imager - VL53L5CX
CODICE MEPA:
0135173590
BRAND:
SparkFun
CODICE PRODUTTORE:
SEN-19013
CODICE SKU:
SF-SEN-19013
29,26
€
(escl. IVA)
Descrizione completa
The SparkFun Qwiic Mini ToF Imager packs the incredible 3D sensing capabilities of the VL53L5CX into a footprint half the size of our standard board. Measuring just 0.5-inch x 1-inch this board is designed specifically for tight spaces and sleek enclosures. It integrates the same SPAD array and optical elements as its bigger brother delivering a 64-pixel (8x8) depth map that gives your project true vision capabilities rather than just a simple distance number.Designed for EnclosuresWe redesigned the layout to make mounting easier than ever. Unlike standard breakouts we placed the Qwiic connectors on the back in a vertical orientation.Flush Mounting: This allows you to mount the sensor flush against the wall of a chassis or enclosure—facing outward—while keeping your cables tucked cleanly away behind it.Clean Look: It is the ideal form factor for robotics "eyes " user presence detection systems or gesture control panels where you don't want wires protruding from the sides.Multizone Ranging & AlgorithmsDespite its tiny size it sacrifices nothing in performance compared to the larger board:Wide Vision: Covers a 63° diagonal Field-of-View measuring distance to 64 separate zones simultaneouslyLong Range: Capable of measuring distances up to 4000mm (4 meters) across all zones at speeds up to 15Hz.Smart Detection: Thanks to ST's patented Histogram algorithms the sensor can detect multiple objects within the Field-of-View and provides immunity to crosstalk from cover glass (beyond 60cm).Controller CompatibilityThis Qwiic Mini VL53L5CX ToF Imager is highly advanced and with that power comes a specific requirement: it must load its firmware (~90KB) over the I2C bus every time it powers on. This means standard 8-bit microcontrollers like the Arduino Uno do not have enough flash memory to handle this sensor. To use this imager you will need a more capable board with sufficient memory such as the SparkFun Artemis an ESP32-equipped board or a Raspberry Pi RP2040/RP2350 board.
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