DFRobot, robotics and open source hardware provider, recently announced the launch of the HuskyLens -- a user-friendly, vision sensor that uses the state-of-the-art artificial intelligence. The device is able to learn and recognize new objects, colors, object tracking, line following, tag detection, and even faces using the Kendryte K210 SoC with a dual-core RISC-V 64-bit processor.
The HuksyLens boasts the ability to process images 1,000 times faster than other models on the market and can read up to 30 frames per second. The gadget can seamlessly switch between its multiple algorithms to give users a bespoke experience.
The HuksyLens is compatible with microcontrollers such a LattePanda, Arduino, Raspberry Pi, and micro:bit. It is available online from $20 USD on Kickstarter.
Artificial Intelligence Vision Sensors
The HuskyLens Uses an Image Processing Algorithm to Learn
Trend Themes
1. Artificial Intelligence Vision Sensors - The development of user-friendly AI-based sensors presents an opportunity to improve machine learning and computer vision technologies.
2. Object Recognition Technology - The integration of advanced algorithms and deep learning techniques in object recognition systems could enhance industries such as e-commerce, logistics, and robotics.
3. Microcontroller Compatibility - Improved compatibility with popular microcontrollers offers opportunities to develop new applications and use cases for visual sensing technologies.
Industry Implications
1. Robotics - AI-powered vision sensors could enhance robotics systems through improved object recognition, tracking, and navigation capabilities.
2. E-commerce - Implementing vision sensors with advanced recognition technology can improve inventory management systems and enhance the shopping experience for customers.
3. Automotive - Integrating advanced vision sensors into vehicles could enhance safety features and improve autonomous driving capabilities.