SKU: TH2195
Gravity: HuskyLens K210 AI Camera is a no-code vision sensor designed to make AI vision projects faster and easier for students, makers, and embedded developers. Built around the Kendryte K210 processor and an OV2640 2MP camera, it can perform common vision tasks without requiring complex model training or advanced image-processing code.
This module supports built-in functions such as face recognition, object tracking, object recognition, line tracking, color recognition, and tag recognition, along with QR code recognition support from the supplier content. The integrated 2.0-inch IPS display with 320 × 240 resolution makes it easy to view what the camera sees and interact with the system during setup and testing.
With UART and I2C interfaces and a 3.3V to 5.0V supply range, HuskyLens fits neatly into Arduino, Raspberry Pi, and STEM builds where quick machine vision capability is needed for robots, interactive devices, and classroom experiments.
Ideal for vision-guided robots, smart sorting demos, line-following systems, color-based interaction, face-aware projects, and STEM education where users want practical AI camera functions with less development overhead.
Technical details for Gravity: HuskyLens K210 AI Camera.
| Processor | Kendryte K210 |
|---|---|
| Image Sensor | OV2640, 2.0 Megapixel |
| Supply Voltage | 3.3V to 5.0V |
| Current Consumption (typ.) | 320mA @ 3.3V, 230mA @ 5V (face recognition mode, 80% backlight brightness, fill light off) |
| Interface | UART, I2C |
| Display | 2.0-inch IPS, 320 × 240 |
| Built-in Algorithms | Face Recognition, Object Tracking, Object Recognition, Line Tracking, Color Recognition, Tag Recognition |
| Dimensions | 52 × 44.5 mm |
| Compatibility | Arduino, Raspberry Pi |
This product is intended for embedded vision and education-focused AI applications. Performance and power draw can vary depending on the active recognition mode and display settings.
It has built-in vision functions for face recognition, object tracking, object recognition, line tracking, color recognition, and tag recognition. Supplier notes also mention QR code recognition support.
The supplier specifically lists compatibility with Arduino and Raspberry Pi. The product title mentions STEM, Arduino, and micro:bit, but the provided technical brief only confirms Arduino and Raspberry Pi compatibility.
It supports a 3.3V to 5.0V supply voltage. This makes it suitable for common maker and embedded platforms that use either 3.3V or 5V logic power rails.
The camera supports UART and I2C communication. These interfaces help it connect with supported controller boards for AI vision projects.
Yes, it includes a 2.0-inch IPS screen with 320 × 240 resolution. This can help with on-device viewing and interaction during setup and use.
The module measures 52 mm × 44.5 mm. It uses a Kendryte K210 processor and an OV2640 2.0-megapixel image sensor.
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