DFRobot
HUSKYLENS 2 Plus AI Vision Kit with Wi-Fi 6 & Wide-Angle Camera
· MPN: KIT0222
This kit bundles the HUSKYLENS 2 edge AI vision sensor with the HUSKYLENS 2 WiFi Module and HUSKYLENS 2 Wide-angle Camera Module, giving robotics and maker p...
This kit bundles the HUSKYLENS 2 edge AI vision sensor with the HUSKYLENS 2 WiFi Module and HUSKYLENS 2 Wide-angle Camera Module, giving robotics and maker projects on-device visual recognition plus wireless interaction. It is designed to help users build AI vision applications without setting up complex machine learning environments or relying on cloud computing.
HUSKYLENS 2 supports a learn-and-use workflow for teaching new objects or features directly on the device, along with built-in algorithms for tasks such as object recognition, face recognition, gesture recognition, colour tracking and posture detection. The Wi-Fi 6 module adds MCP communication, wireless image transmission and wireless model download for more flexible deployment.
The wide-angle camera module expands the field of view for use cases such as mobile robot navigation, multi-person recognition and space monitoring. The kit is suited to STEM education, maker labs, robotics competitions, remote monitoring, intelligent inspection and smart home vision projects.
Included are HUSKYLENS 2 x1, M3 Screws x6, M3 Nuts x6, Mounting Bracket x1, Raised Bracket x1, Gravity: 4Pin Sensor Cable (30cm) x1, PH2.0 Double-ended Silicone Cable (20cm) x1, Power Adapter Board x1, HUSKYLENS 2 WiFi Module x 1, HUSKYLENS 2 Wide-angle Camera Module x 1 and Small Phillips Screwdriver x 1.
Features:
- Edge AI vision: Multiple built-in visual recognition algorithms for local AI vision applications.
- Object recognition: Supports recognition of objects directly on the device.
- Face recognition: Supports face recognition applications.
- Gesture recognition: Supports gesture recognition applications.
- Colour tracking: Supports colour tracking for vision projects.
- Posture detection: Supports posture detection.
- Human tracking: Supports human tracking.
- Motion sensing: Supports motion sensing.
- Scene understanding: Supports scene understanding applications.
- Learn-and-use workflow: Allows users to teach new objects or features directly on-device with simple operations.
- Real-time tracking: Supports real-time tracking in dynamic environments.
- Continuous learning: Supports continuous learning in dynamic environments.
- Offline operation: Enables stable offline operation with lower latency and improved reliability.
- Wi-Fi expansion: Adds a wireless and networked AI vision experience for robotics systems, IoT platforms and cloud-based applications.
- MCP communication: Supports MCP communication when used with the WiFi Module.
- Wireless image transmission: Supports wireless image transmission.
- Wireless model download: Supports wireless model download.
- Remote debugging: Supports remote debugging.
- Model updates: Supports model updates.
- Data interaction: Supports data interaction.
- Wide-angle vision: Captures more environmental information in a single frame.
- Reduced blind spots: Significantly reduces blind spots commonly found in traditional vision systems.
- Large-area target detection: Enables more effective large-area target detection.
- Multi-object recognition: Enables multi-object recognition.
- Dynamic environment tracking: Enables dynamic environment tracking.
- Mobile robot navigation: Suitable for mobile robot navigation.
- Multi-person recognition: Suitable for multi-person recognition.
- Space monitoring: Suitable for space monitoring.
- Application: STEM education, maker labs, and robotics competitions.
- Application: Mobile robot navigation and intelligent inspection.
- Application: Remote monitoring and cloud‑managed AI systems.
- Application: Classroom interaction and space monitoring.
- Application: Creative installations and automated inspection.
- Application: Wireless robot control and smart home vision systems.
Specifications:
- HUSKYLENS 2 Processor: Kendryte K230 Dual-Core 1.6GHz
- HUSKYLENS 2 AI Computing Power: 6 TOPS
- HUSKYLENS 2 Memory: 1GB LPDDR4
- HUSKYLENS 2 Storage: 8GB eMMC
- HUSKYLENS 2 Image Sensor: GC2093, 2MP, 1/2.9”, 60FPS
- HUSKYLENS 2 Display: 2.4” IPS Touch Screen(640x480), Full-Lamination
- HUSKYLENS 2 Buttons: 1 x Function Button
- HUSKYLENS 2 Fill Lights: 2 x LEDs
- HUSKYLENS 2 RGB Indicator: 1x RGB LED
- HUSKYLENS 2 Wi-Fi: 2.4GHz Wi-Fi 6(Slot-in Module)
- HUSKYLENS 2 Expandable Storage: 1x TF Card Slot
- HUSKYLENS 2 Microphone: Capactive Silicon Microphone
- HUSKYLENS 2 Speaker: 1W Acoustic Speaker
- HUSKYLENS 2 Operating Voltage: 3.3-5V
- HUSKYLENS 2 Power Consumption: 1.5-3W
- HUSKYLENS 2 Dimensions: 70 x 58 x 19mm
- HUSKYLENS 2 Net Weight: 90g
- HUSKYLENS 2 Interfaces: USB-C, Gravity(I2C/UART),TF Card Slot
- HUSKYLENS 2 WiFi Module WiFi Standard: Wi-Fi 6
- HUSKYLENS 2 WiFi Module Wireless Frequency: 2.4GHz
- HUSKYLENS 2 WiFi Module Max Rate: 286.8Mbps
- HUSKYLENS 2 WiFi Module Bandwidth: 20/40MHz
- HUSKYLENS 2 WiFi Module Encryption Protocols: WEP/WPA/WPA3/WPA3
- HUSKYLENS 2 WiFi Module Interface Type: USB
- Camera Field of View (FOV): D = 116.6°, H = 107.6°, V = 72.6°
- Camera Effective Focal Length: 2.02 mm
- Camera Effective Capture Distance: Approximately 0.1~1.5m
Use it with Gravity I2C/UART projects, USB-C workflows and robotics builds where local vision recognition, wireless connectivity and a wider view of the scene are useful.
Jargon buster
Plain-language definitions for the technical terms used above.
- eMMC
- Embedded MultiMediaCard is built-in flash storage soldered onto a board, similar in purpose to an SD card but integrated. It matters because it holds the operating system and files without needing a separate memory card.
- Gravity
- Gravity is DFRobot’s plug-in connector system for sensors, motors and modules, using standard cables to reduce loose jumper wiring. It matters because Gravity-compatible parts can connect directly to these ports, while non-Gravity parts may need adapters or manual wiring.
- I2C
- I2C is a two-wire communication bus used by many sensors and small modules. It matters because several I2C devices can share the same two wires, but each device needs a compatible address and your controller must support I2C.
- IoT
- Short for Internet of Things, meaning physical devices that connect to networks or the internet to send data or be controlled remotely. It matters if you want projects such as connected sensors, remote controls or classroom data-logging activities.
- IPS
- IPS is a type of LCD panel that keeps colours and contrast more consistent when viewed from an angle. This matters for small displays that may be mounted in a dashboard, handheld project, or enclosure where the viewer is not always looking straight on.
- LED
- A light-emitting diode is a small electronic component that lights up when current flows through it in the correct direction. In this kit, LEDs create the flashing effect, so polarity and correct soldering matter for the project to work.
- LPDDR4
- A low-power type of RAM commonly used in phones and embedded computers. More LPDDR4 memory lets a board run larger programs, Linux services, or AI models more smoothly.
- RGB
- Short for red, green and blue, usually referring to an LED that can mix those three colours. It matters because controlling an RGB LED teaches how separate outputs combine to create different colours.
- TOPS
- TOPS means trillions of operations per second, often used to describe AI accelerator performance. It helps compare whether a computing module is suited to lightweight image recognition or more demanding neural-network workloads.
- UART
- UART is a simple serial connection that sends data over separate transmit and receive wires, often labelled TX and RX. It matters because this module is designed to replace a wired UART cable with a wireless link while keeping the same serial data format.
- USB-C
- A modern reversible USB connector used for power and data connections. On this product it matters because it can connect directly to a computer as well as to a microcontroller project.
- Wi-Fi 6
- A newer Wi-Fi standard that can improve speed, range, and efficiency compared with older Wi-Fi versions. It matters for projects that need reliable wireless networking, especially where many devices share the same network.
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