Seeed Studio AMB82-Mini IoT AI Camera module | Wi-Fi, Bluetooth & Arduino Dev Kit
Accelerate your edge AI deployments with the Seeed Studio AMB82-Mini IoT AI Camera Arduino Development Board. Built around the high-efficiency Realtek RTL8735BDM 8-in-1 SoC, this miniature powerhouse from Seeed Studio combines an internal Neural Network (NPU) engine delivering 0.4 TOPS, dual-band 2.4GHz/5GHz Wi-Fi, and BLE 5.1 with real-time multi-stream H.265/H.264/JPEG hardware encoding up to 2K resolution. Fully supported by the Arduino IDE, it is the premier low-power, battery-friendly solution for standalone facial recognition, object detection, and smart computer vision networks at the edge.
₹ 5,490
₹ 6,750
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The Seeed Studio AMB82-Mini IoT AI Camera Arduino Development Board is a next-generation architecture engineered specifically for battery-powered AI network camera applications. At the heart of this breakout matrix lies the groundbreaking RTL8735BDM SoC—a highly integrated 8-in-1 chip integrating an ARMv8M 32-bit CPU running up to 500MHz, 128MB of internal DDR2 RAM, and a dedicated hardware Intelligent Neural Network Engine. This design from Seeed Studio eliminates the need for hot, high-draw processor nodes or expensive external cloud processing infrastructure, letting you handle machine learning models directly on the sensor head.
For capturing sharp optical data streams, the module pairs seamlessly with an included JXF37 Full HD CMOS image sensor breakout equipped with a $130^circ$ wide-angle field-of-view (FOV) lens. An integrated Image Signal Processor (ISP) supports advanced light compensation matrices like HDR, 3DNR, and WDR to ensure reliable exposure profiles even under shifting industrial backlighting or direct sunlight. Wireless data transmission is reinforced via a high-bandwidth dual-band Wi-Fi connection (2.4GHz & 5GHz) alongside Bluetooth Low Energy (BLE) 5.1, making high-definition H.265 video streaming smooth and completely stable.
Key Features and Benefits
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Seeed Studio Built Quality: Manufactured to industrial standards with clean routing and robust surface-mount layout logic.
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Embedded AI Hardware NPU Accelerators: Provides a dedicated hardware engine yielding 0.4 TOPS processing speed, enabling fast object classification, face recognition, and audio profiling natively via TensorFlow Lite or YOLOv4-Tiny models.
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Ultra Low Power Profile: Boasts sub-millisecond fast boot execution routines and an ultra-low standby draw measured in microamperes, extending the operational lifecycle of systems deployed on solar or lithium-ion cells.
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Advanced Multi-Stream Video Codecs: Encodes independent real-time H.264/H.265 or JPEG streams concurrently (e.g., $1080 ext{p} @ 30 ext{fps} + 720 ext{p} @ 30 ext{fps}$), optimizing data throughput for local monitoring alongside low-bandwidth wireless uplink.
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Open Software Ecosystem Framework: Offers deep, direct compatibility with the Arduino IDE, allowing engineers and makers to utilize rich example guides, custom C++ libraries, and standard FreeRTOS SDK wrappers without dealing with low-level register maps.
Technical Specifications
| Component / Feature | Specification Details |
| Board Manufacturer | Seeed Studio |
| Main Processing SoC | Realtek RTL8735BDM (ARMv8M Architecture up to 500MHz) |
| AI Co-Processor NPU | Intelligent Hardware Engine @ 0.4 TOPS |
| Onboard System Memory | 128MB DDR2 RAM (MCM Internal) | 16MB SPI Nor Flash |
| Wireless Protocols | Dual-Band Wi-Fi ($1 imes1$ 802.11 a/b/g/n 2.4GHz/5GHz) | BLE 5.1 |
| Wireless Security Matrix | Hardware Cryptographic Engine | WEP, WPA, WPA2, WPA3, WPS |
| Camera Sensor Element | JXF37 1920x1080 Full HD CMOS Sensor | $$130^cir$ FOV Lens |
| Video Enhancement Suite | Hardware HDR | 3D Noise Reduction (3DNR) | Wide Dynamic Range (WDR) |
| Audio Configuration | Onboard Microphone | Integrated ADC/DAC/I2S Codec |
| Hardware Interfaces | 2x Micro USB Ports, 1x MicroSD Card Slot, 2x Tact Switches |
| Peripheral GPIO Arrays | Up to 23 GPIOs (3x UART, 2x SPI, 1x I2C, 8x PWM, 2x GDMA) |
How to Use
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Hardware Connection: Align the flex cable from the included JXF37 camera module into the FPC port on the Seeed Studio AMB82-Mini main board, ensuring a secure latched connection. Attach the dual-band IPEX antenna onto the onboard RF socket.
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IDE Integration: Open your Arduino IDE environment, go to
Preferences, and include the official Ameba Pro2 board manager URL link in your board index library configuration panel. Install the "AmebaPro2" board package via the Boards Manager utility. -
Flashing Mode Configuration: Connect the module to your computer via a Micro-USB data cable. To trigger manual programming, press and hold the
UART_DOWNLOADbutton, click the hardwareRESETbutton once, then release the download button. -
Compile & Run: Open your first computer vision testing template (e.g.,
File -> Examples -> NeuralNetwork -> ObjectDetection), verify the sketch, and hitUpload. Once complete, cycle the system power or press the reset switch to run the local AI network script.
Applications
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Battery-Operated Smart IP Cameras: Powers remote standalone monitoring units requiring efficient long-term battery lifecycles.
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Intelligent Edge AI Vision Nodes: Runs offline object tracking, QR code scanning, and face-matching security gates.
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Industrial Automation Monitoring: Captures gauge readings, defect states, or anomalous structural variations via machine learning.
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Smart Home Automation: Serves as an open, secure camera processing module for video doorbells and baby monitoring setups with zero cloud latency.
Package Includes
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1 x Seeed Studio AMB82-MINI Main Development Board
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1 x JXF37 Full HD CMOS Camera Module with $130^circ$ Wide Angle Lens
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1 x Dual-Band (2.4GHz / 5GHz) High-Gain IPEX Antenna Interface lead
Shipping & Delivery
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Free shipping on orders above ₹999 across India
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Dispatched within 1-3 business days
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Expected delivery: 3-7 business days depending on location
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Secure packaging to ensure safe transit of electronic components
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