HuskyLensV2

HuskyLens V2 is an easy-to-use and versatile AI vision sensor. Equipped with a dedicated AI chip offering 6 TOPS computing power, it comes preloaded with over 20 ready-to-use AI models, including face recognition, object detection, object classification, pose recognition, instance segmentation, and more. Users can also deploy custom-trained models to teach HuskyLens V2 to recognize virtually any target object. It delivers a highly capable visual solution for diverse applications such as smart robotics, industrial automation, education, and scientific research.

Basic usage

Example

HuskyLens V2 offers a very detailed tutorial on using MakeCode.(https://wiki.dfrobot.com/Tutorial%20for%20HUSKYLENS%202%20and%20micro:bit%20Graphical%20Programming(MakeCode))

• HuskyLens V2 Init I2C and select pattern.

    huskylensV2.I2CInit()
    huskylensV2.switchAlgorithm(huskylensV2.Algorithm.ALGORITHM_FACE_RECOGNITION)

• HuskyLens V2 collects data for facial recognition and outputs it.

    basic.forever(function () {
        huskylensV2.getResultFaceRecogtion()
        if (huskylensV2.availableFaceRecogtion()) {
            serial.writeLine("ID:" + huskylensV2.getCachedCenterResult(huskylensV2.BasePropertyID.ID))
            serial.writeLine("NAME:" + huskylensV2.getCachedCenterResult(huskylensV2.BasePropertyID.Name))
            serial.writeLine("X:" + huskylensV2.getCachedCenterResult(huskylensV2.BasePropertyID.XCenter))
            serial.writeLine("Y:" + huskylensV2.getCachedCenterResult(huskylensV2.BasePropertyID.YCenter))
            serial.writeLine("W:" + huskylensV2.getCachedCenterResult(huskylensV2.BasePropertyID.Width))
            serial.writeLine("H:" + huskylensV2.getCachedCenterResult(huskylensV2.BasePropertyID.Height))
            serial.writeLine("----")
        }
    })

License

MIT

Copyright (c) 2020, microbit/micropython Chinese community

Supported targets

• for PXT/microbit