DIY Vision Tracker with 3D Printing

The HUSKYLENS 2 boasts a dual-core 1.6GHz processor and a 6 TOPS AI accelerator, enabling on-device processing of AI tasks. This eliminates the need for external computers or cloud connections. It can be used to create smart surveillance systems, interactive robots, and auto-tracking cameras. The vision tracker is not limited to simply identifying objects, but actively follows them. It achieves this using servo motors and a microcontroller like the ESP32-C6 to adjust its position. This enables applications like AI-powered turrets and smart classroom demonstrations. HUSKYLENS 2 comes pre-loaded with over 20 AI models, including face recognition, object tracking, pose estimation, and instance segmentation. Users can also deploy custom-trained models via a YOLO-style workflow. This allows the device to recognize a wide array of objects, from components to plants. The device can act as an MCP (Micro Controller Platform) server, providing contextual awareness for Large Language Models (LLMs). This allows the LLM to understand specific rules and knowledge beyond generic models. The HUSKYLENS 2 can inform the model about who a person is and what action they are performing. The HUSKYLENS 2 has a 2.4-inch IPS touchscreen, a microphone, a speaker, and indicator lights. It offers UART and I2C interfaces for easy connection to Arduino, Raspberry Pi, and other platforms. It also supports Wi-Fi connectivity. Similar DIY eye-tracking projects have leveraged 3D printing for custom headset designs. These can be used for workshops or creating mobile eye-tracking systems. 3D printing allows for the creation of customized parts for pan-and-tilt mechanisms.