DFRobot’s Gravity HUSKYLENS SEN0305 is a K210-based vision sensor for projects that need common visual-recognition functions without building the entire computer-vision pipeline on a separate controller. It can recognize or track several kinds of visual targets, show its view and settings on a built-in screen, and send results to a host through UART or I2C. It is a practical starting point for maker, robotics, and education projects—but its documented features do not guarantee accuracy or reliability in a particular environment.
What the original HUSKYLENS does
The SEN0305 is the original K210-based Gravity HUSKYLENS. DFRobot lists seven built-in functions:
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- Face recognition
- Object tracking
- Object recognition
- Line tracking
- Color recognition
- Tag recognition
- Object classification
The sensor runs these functions on its Kendryte K210 processor. A host controller can receive results—such as position data—over UART or I2C, rather than having to implement the vision algorithm itself. DFRobot provides Arduino and micro:bit examples, and lists Raspberry Pi among compatible controllers. Compatibility does not mean every board has the same wiring, voltage requirements, library support, or setup process.
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How the learning and control workflow works
HUSKYLENS combines a 2.0-inch IPS display with buttons for selecting functions, teaching the device, and adjusting settings. The screen provides a way to inspect the camera view and device state; the button-based workflow avoids requiring a computer for every basic interaction. After selecting a function, the user can use the learning button to teach the sensor what to recognize or track. The host controller can then use the output in a project—for example, reacting to reported target position.
#1 Best Overall
- Powerful MCU Board: Incorporate the ESP32 S3 32-bit, dual-core, Xtensa processor chip operating up to 240 MHz, mounted multiple development ports, Arduino / MicroPython supported
- Advanced Functionality: Detachable OV2640 camera sensor for 1600*1200 resolution, compatible with OV3660 camera sensor, integrating additional digital microphone
- Great Memory for more Possibilities: Offer 8MB PSRAM and 8MB FLASH, supporting SD card slot for external 32GB FAT memory
- Outstanding RF performance: Support 2.4GHz Wi-Fi and BLE dual wireless communication, support 100m+ remote communication when connected with U.FL antenna
- Thumb-sized Compact Design: 21 x 17.5mm, adopting the classic form factor of XIAO, suitable for space-limited projects like wearable devices
This is a simpler entry point than implementing the vision algorithms on a general-purpose board, not a guarantee of plug-and-play operation. A complete build still needs suitable power, correct connections, compatible host code, and testing against the project’s lighting, distance, motion, and target conditions.
Specifications and power planning
| Item | DFRobot specification for SEN0305 |
|---|---|
| Processor | Kendryte K210 |
| Image sensor options | OV2640 / GC0328 |
| Supply voltage | 3.3–5.0 V |
| Host interfaces | UART and I2C |
| Display | 2.0-inch IPS, 320 × 240 resolution |
| Typical current consumption | 320 mA at 3.3 V or 230 mA at 5.0 V in face-recognition mode, with 80% backlight and fill light off |
These are manufacturer-published specifications, not independent measurements. In particular, the current figures apply only under the stated face-recognition and display/light conditions. Budget the project’s supply for the sensor’s operating demand and check the controller’s power limits rather than assuming a signal connection also provides adequate power.
Rank #2
- 12.3 MP Sony IMX500 Intelligent Vision Sensor with a powerful neural network accelerator
- Integrated low-power inference engine
- Integrated RP2040 for neural network and firmware management
- Pre-loaded with MobileNet machine vision model
- Sensor modes: 4056×3040 at 10fps, 2028×1520 at 30fps
Configure the connection before integrating a project
The K210 setup guide lists UART baud rates of 9600, 115200, and 1000000, as well as I2C and automatic protocol detection. The guide’s language options for this model are Chinese and English. Settings are selected with the function button and must be committed using “Save & Return.”
- Choose UART or I2C to match the host controller and the example or library you intend to use.
- For UART, set the same baud rate on the HUSKYLENS and host; the guide lists 9600, 115200, and 1000000 baud.
- Use the function button to select the required settings, then choose “Save & Return” so the changes are saved.
- Wire the sensor and controller according to the documentation for both boards, paying attention to supply and signal-voltage compatibility.
- Start with DFRobot’s relevant Arduino or micro:bit example and confirm that the host receives the expected output before adding application behavior.
Is SEN0305 a fit for your project?
The original HUSKYLENS is most relevant when a project can use one of its built-in functions and needs the result delivered to a controller over UART or I2C. Its onboard display and button-operated learning and settings make it approachable for classroom demonstrations, prototypes, and robotics builds where a full software vision stack would be unnecessary overhead.
Rank #3
- STARVIS Ultra Low Light Imaging: This Raspberry Pi camera is Built with STARVIS back-illuminated sensor technology, this Pi camera delivers exceptional image quality in extremely low-light environments. Capture bright, detailed footage where conventional camera modules struggle
- Automatic Day & Night Switching: This day&night vision camera is Integrated IR-cut filter automatically switches between daytime color imaging and nighttime monochrome mode. Ideal for 24/7 surveillance, wildlife observation, and unattended monitoring systems
- Native Raspberry Pi Camera Support: Designed as a native Raspberry Pi camera module, it works directly with Raspberry Pi camera drivers and software stacks without firmware flashing. Fully compatible with Raspberry Pi OS, libcamera, and Raspberry Pi 5 camera applications for rapid deployment
- 102° Wide-Angle Coverage: Equipped with a 102° wide angle lens, this Raspberry Pi camera module captures more of the scene in every frame, reducing blind spots and improving monitoring efficiency for smart home security, robotics, industrial automation, and AI vision systems
- 1080P Full HD MIPI CSI Output: Delivering 1080P Full HD video through the high-speed MIPI CSI-2 interface, this IMX290 Raspberry Pi camera provides low-latency, high-bandwidth image transmission. Ideal for machine learning, computer vision, video streaming, image processing, and Raspberry Pi 5 camera projects
- Consider it when one of the seven documented functions matches the task and a supported host interface fits the controller.
- Check your setup carefully when power is constrained, the target environment differs from your intended use, or the controller needs particular voltage levels, libraries, or wiring.
- Look beyond this model if you need custom model deployment or advanced functions not listed for SEN0305. Do not assume newer-generation features are available on this device.
DFRobot’s product page currently displays $34.90 for the K210 camera, but price and stock can change; check the listing before purchase. The separately listed silicone-case version is SKU SEN0305-S, not SEN0305, and its displayed $38.40 price is likewise subject to change. Confirm the exact SKU and included accessories when ordering.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Do not confuse it with HUSKYLENS 2
HUSKYLENS 2 is a separate generation, not another name for SEN0305. DFRobot identifies it as a K230-based product and describes touchscreen operation, more than 20 built-in models, additional capabilities such as instance segmentation and hand/pose recognition, and custom model deployment. Those features belong to HUSKYLENS 2’s documentation and should not be attributed to the K210 SEN0305. Compare the exact model and SKU against the functions, interfaces, software path, power needs, and packaging your project requires.
Quick Recap
Best Value
- 6 TOPS Edge AI & Deploying Custom Models Trained with YOLO: Powered by a 1.6GHz dual-core processor and a 6 TOPS AI accelerator, it handles complex neural networks locally. Built-in with 20+ algorithms (face, gesture, posture tracking), it also supports a complete toolchain for training and deploying custom YOLO models without relying on cloud computing.
- 116.6° WIDE-ANGLE VISION TO MINIMIZE BLIND SPOTS: The Plus Kit includes a specialized Wide-Angle Camera Module featuring an expansive FOV (D: 116.6°, H: 107.6°, V: 72.6°). Optimized for a near-field effective capture distance of 0.1~1.5m, it is perfectly designed for dynamic mobile robots, desktop robotic arms, and STEM competitions. It captures massive environmental data in a single frame, ensuring targets are detected earlier and is not lost during fast close-range movements.
- DUAL-MODE REAL-TIME VIDEO TRANSMISSION: Break traditional connection limits! Equipped with the WiFi module, it supports both USB wired and WiFi wireless real-time video transmission. Utilizing highly efficient image compression technology, it achieves millisecond-level latency, seamlessly syncing recognition results and live visuals to your remote terminals. It provides extremely reliable remote visual perception and data collection for enclosed robotic chassis.
- LLM INTEGRATION VIA MCP: HUSKYLENS 2 is the first AI vision sensor to support the Model Context Protocol (MCP). It acts as the "intelligent eyes" for Large Language Models (LLMs), sending structured contextual summaries (e.g., "A person is doing a specific gesture") directly to your AI Agents for smarter decision-making.
- PLUG-AND-PLAY: Featuring standard UART and I2C (Gravity) interfaces, it's fully compatible with Arduino, ESP32, Raspberry Pi, micro:bit, and UNIHIKER. Its intuitive "learn-and-use" touchscreen interface allows beginners and pros alike to build AI projects in minutes.
Rank #4
- 1Tops computing power, efficient image processing capabilities: The K210 vision module is equipped with an efficient AI chip, a 2 million pixel OV2640 camera, and a built-in 2.0-inch LCD capacitive touch screen. It can process image data at a very fast speed while consuming low power, supporting various application scenarios such as face feature recognition, barcode recognition, object detection, color recognition, and visual line tracking.
- Simplified AI vision development learning: The Smart Vision Sensor uses MicroPython programming, with CanMV as the development environment. According to Yahboom's tutorials, users can skip the complex process of deploying visual algorithms and only need to record 5 images to complete autonomous model training, lowering the learning and use threshold of AI technology.
- Multi-controller compatibility: The K210 vision recognition module is equipped with a serial interface and can be used with various controllers such as STM32, RaspberryPi Pico, Ard-uino, BBC-V2, MSPM0, etc. Users can easily output visual recognition results to an external controller through the serial port, without the need to delve into complex visual algorithms, making it easy to create creative AI projects.Identify multiple colors simultaneously
- Open source code: The program source code of the Smart AI Lens Kit is completely open source, not a closed-source product that can only be used without further development. This enables users to more easily develop and customize their own visual application programs. In addition to powerful AI recognition functions, we also provide rich development materials to facilitate users to learn and develop their own AI projects.
- Diverse application scenarios: The compact K210 vision module can be widely used in electronic competitions, efficient experimental teaching, robot extensions or personal DIY projects, and even widely used in various fields such as smart homes, industrial automation, etc., providing users with more possibilities and innovation space.
Official documentation
- DFRobot Wiki: Gravity: HuskyLens K210 AI Camera — No-Code Vision Sensor for STEM (SEN0305)
- DFRobot: Gravity: HUSKYLENS with Silicone Case (SEN0305-S)
- DFRobot: HUSKYLENS AI machine vision sensor
- DFRobot Wiki: K210 setup guide
- DFRobot Wiki: HUSKYLENS 2 getting-started guide
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
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