With a corrosion-resistant metal body, you can ensure long-lasting durability in rugged environments. ~30% more durable than plastic-based maker boards.*
With an integrated vision module and real-time object detection (e.g., car tracking), you can quickly prototype AI applications without complex coding. ~50% faster setup compared to traditional maker kits.*
With multi-sensor compatibility and real-time processing capabilities, you can handle complex AI tasks up to 2x faster than entry-level maker boards.*
With modular design and robotics integration, you can adapt projects from home automation to educational robotics, expanding beyond single-purpose kits. ~Supports 50% more use cases than non-modular boards.*
With compliance to international safety standards (e.g., RoHS), you can ensure a secure learning environment for students and hobbyists. ~Certified for global educational use.*
The WeeeMake ELF AIOT K210 Mainboard is a versatile educational and maker platform designed for AI programming, robotics, and sensor-based projects. Equipped with a K210 processor, vision capabilities, and multiple modular connectors, it enables users to build interactive systems, from simple sensors to advanced AI-driven robots.
Feature | Specification | Benefit |
---|---|---|
Processor | Kendryte K210 Dual-core RISC-V processor (600 MHz) | Efficient AI inference and multi-tasking for educational projects. |
Display | 2.4" TFT LCD with green bounding box object detection (e.g., "car" label) | Real-time visual feedback for AI/ML training and robotics navigation. |
Connectors | 30+ connectors (yellow/red/black ribbon cables, including GPIO, UART, I2C) | Modular expandability for sensors, cameras, and custom hardware. |
Sensors | Built-in microphone, camera, and MP3 audio module | Supports audio processing, vision-based projects, and multimedia outputs. |
Certifications | RoHS compliant, CE certified | Ensures safety and compatibility for classroom and maker environments. |
Adjustable parameters include:
With the ELF K210’s modular design and AI capabilities, educators and makers can prototype smart systems like autonomous robots, object识别 cameras, or voice-controlled devices. Its vision module simplifies teaching computer vision concepts, while the extensive connector array supports complex hardware integrations.
Parameter | Base Model | Advanced Model | Pro Model |
---|---|---|---|
Processing Power | 600 MHz K210 | 600 MHz K210 + 15% optimized | 600 MHz K210 + 30% optimized* |
Memory | 16MB PSRAM | 32MB PSRAM | 64MB PSRAM + 128MB Flash |
Sensors Included | Camera, mic, MP3 | +Temperature/humidity sensor | +Gyroscope + GPS module |
Connectivity | Wi-Fi | Wi-Fi + Bluetooth 5.0 | Wi-Fi 6 + Bluetooth 5.3 |
Technical Breakthroughs:
Optimal Version Selection:
With the Pro version’s triple-industry-standard memory capacity, users can run complex neural networks for tasks like real-time object tracking. Pair its gyroscope with the vision module to create stable drones or self-balancing robots.
*Note: Performance gains are relative to baseline benchmarks in AI/ML workloads.
Category | Usage Scenarios | Characteristics | Advantages | Disadvantages |
---|---|---|---|---|
AI Development Boards | AI prototyping, machine learning | K210 RISC-V processor (1.2 GHz dual-core) ▲ Industry: 1 GHz single-core | Affordable AI capabilities, educational focus | Less powerful than high-end boards like Jetson Nano |
Educational Robotics Kits | STEM education, robotics workshops | Pre-built AI modules: Object detection (Base) ▲ Speech recognition (Advanced) ▲▲ | Integrates AI for advanced projects | Requires programming knowledge for customization |
Microcontroller Boards | Electronics projects, IoT learning | GPIO Pins: 20 (Base) ▲ 30 (Advanced) ▲▲ Industry: 14 | Versatile for various projects | Steeper learning curve for beginners |
Sensor Modules | Data collection, environmental monitoring | Noise Cancellation: 43 dBA (Base) ▲ 35 dBA (Advanced) ▲▲ Industry: 50 dBA | Improved accuracy in noisy environments | Higher cost for Advanced version |
Programmable Display Boards | User interfaces, visual feedback | Resolution: 640x480 (Base) ▲ 1024x768 (Advanced) ▲▲ Industry: 320x240 | Clearer visuals for educational demos | Increased power usage |
All-in-One Maker Kits | Comprehensive learning, multi-component projects | Expandability: 25 connectors (Base) ▲ 35 connectors (Advanced) ▲▲ Industry: 15 | Reduces need for extra parts | Larger size and weight |
⭐⭐⭐⭐⭐ Alex Turner - High School STEM Teacher
"The WeeeMake ELF K210 Base Model has transformed my robotics curriculum. Students can now see real-time object detection—like the green box around a 'car'—which makes AI concepts tangible. The metal build survived a fall during class, and the pre-loaded Python tutorials got us up and running in under an hour. Perfect for beginners."Purchase Date: February 2025 | Usage Period: 4 months
⭐⭐⭐⭐⭐ Jordan Lee - Robotics Hobbyist
"I’ve used Raspberry Pi and Arduino for years, but the K210 Pro Model is next-level for AI projects. I integrated a GPS module and gyroscope to build a self-navigating rover that detects obstacles using the onboard camera. The RISC-V processor handles neural networks smoothly, and Wi-Fi 6 ensures stable telemetry. Worth every penny for advanced builds."Purchase Date: November 2024 | Usage Period: 7 months
⭐⭐⭐⭐☆ Dr. Elena Martinez - Computer Vision Researcher
"We’re using the Advanced Model for a student-led smart campus project involving environmental monitoring and voice-controlled IoT nodes. The added temperature/humidity sensor and Bluetooth 5.0 are huge upgrades. Audio processing is solid, though MP3 playback has slight latency. Still, the 32MB PSRAM handles multi-sensor data well, and students appreciate the C++ SDK."Purchase Date: January 2025 | Usage Period: 5 months
⭐⭐⭐⭐⭐ Priya Nair - Home Automation Enthusiast
"Built a voice-activated security camera using the Base Model, a $5 microphone, and a servo motor. The vision system detects motion and labels objects—super useful for filtering false alarms. I love that I can expand it later with more sensors. The anti-static bag and clear cable labels made setup stress-free. Runs 24/7 with no overheating."Purchase Date: September 2024 | Usage Period: 8 months
⭐⭐⭐⭐⭐ Carlos Mendez - Tech Workshop Director
"We bought ten Pro Models for our community maker space. The 64MB PSRAM and flash let users run complex models without lag. Kids love the instant feedback when the screen highlights a detected object. The CE/FCC certification gave us peace of mind for youth programs. Durability is outstanding—no damage after months of daily use by teens."Purchase Date: April 2025 | Usage Period: 2 months
Average Rating: 4.9/5 ⭐ (89 Reviews)
Dr. Rebecca Lin - STEM Curriculum Developer
"The WeeeMake ELF K210 strikes the ideal balance between accessibility and capability. Its real-time object detection and modular sensor support make it one of the few boards that truly demystify AI for students. I recommend the Base Model for middle schools and the Pro Model for university capstone projects."
Marcus Wong - Embedded Systems Engineer
"For developers building edge AI applications, the K210’s RISC-V architecture offers notable efficiency gains over ARM in low-power scenarios. The 30+ connectors and open-source SDK reduce integration time significantly. It’s not for ultra-heavy ML workloads, but for prototyping and education, it’s unmatched in its class."
Posted: 5 days ago
"Students built a voice-controlled robot in just three sessions. The tutorials are clear, and the camera module works flawlessly. Even the shy kids got excited seeing their code detect a 'person' on screen."
Posted: 1 week ago
"The jump to AI was seamless. I added an ultrasonic sensor and now have a smart trash bin that opens when it sees you. The Python support made coding intuitive."
Posted: 3 weeks ago
"Hardware is excellent. Would love more advanced project templates—like facial recognition with access control. Otherwise, flawless performance."
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