Hiwonder AI Vision Waste Classification Kit w/ Audio Broadcast Powered By Micro:bit

Description

• Micro:bit board must be purchased separately
• Powered by micro:bit
• Includes Hiwonder WonderCam vision camera
• Features 12 built in, pre trained models for waste sorting
• Classification results are broadcast by MP3 module and displayed on OLED

The Hiwonder AI Vision Waste Classification Kit w/ Audio Broadcast Powered By Micro:bitis equipped with a WonderCam AI Vision Camera, an OLED display, a voice broadcast system, and 12 built in, pre trained waste classification models. It recognizes the type of waste through the WonderCam, and then announces the result through the MP3 module and OLED display, while simultaneously opening the corresponding waste bin.

This is a great tool for learning and demonstrating AI projects! It allows you to learn about artificial intelligence in a simulated waste sorting scenario, so you can better understand how to integrate AI into our daily lives.

The kit comes with the WonderCam Camera, which is a user friendly AI Vision module with nine built in functions. It can easily program various AI Vision projects with just one click.

View moreWhat’s Included

1 set Wood bracket

1 WonderCam

1 micro:bit expansion board

4 Waste bin

1 18650 Lipo battery

4 LEGO bracket

4 LGS 01 servo

1 micro USB cable

4 Servo wire

4 Hook & loop

1 Screw bag

1 OLED display

1 MP3 module

4 4PIN wire

1 I2C module

1 128MB memory card

1 Card reader

Dimensions395 mm x 288 mm x 132 mmSpecifications

Size after assembly: 395x288x132 mm

Weight: approximately 0.9 kg

Power: 18650 Lithium Polymer battery

Visual module: WonderCam camera

WonderCam processor: Kendryte K210

WonderCam camera: 200 W pixels

WonderCam image sensor: 0V2640 (200 W pixels)

WonderCam supply voltage: 5.0 V

WonderCam working current: 300 mA (Typical working condition: facial recognition, 100% backlight, fill light off)

WonderCam connectors: I2C

WonderCam display: 2.0 IPS, resolution 320×240

WonderCam built in functions: Facial recognition, image classification, feature learning, color recognition, visual line following, tag recognition, number recognition and landmark recognition

WonderCam dimension: 52 mm x 50 mm

WonderCam display dimension: 41 mm x 31 mm

WonderCam weight: 24 g.