DFRobot launches AI camera with facial recognition for classroom STEM education
A new artificial intelligence-powered camera has been launched by DFRobot to bring facial biometrics, object recognition and tracking, and other applications to classrooms. DFRobot provides teaching tools for STEM education, and announced the launch of the camera at the recent Bett 2020 in London.
The new HuskyLens is an AI vision sensor compatible with leading microcontrollers including Arduino, Raspberry Pi, LattePanda and micro:bit, and easily integrates with a single-board computer, according to the announcement. DFRobot says that unlike similar products available in the market, the HuskyLens is designed for ease of use by younger students, with several built-in algorithms to allow students new to algorithms to make creative AI products.
The onboard AI vision software provides continuous learning, and has an algorithmic processing speed 1,000 times faster than most similar products, the company says.
“HuskyLens has been designed with the aim of creating a product that enables the user to create without limitation,” states DFRobot CEO Ricky Ye. “By utilising cutting edge AI technology, alongside intelligent design and extraordinarily fast processors, we believe HuskyLens has achieved this.”
The main framework of the HuskyLens will be open-sourced and licensed under LGPL-2.1.
“Our products are designed to excite young people about science, technology, engineering and maths and we believe our dynamic and innovative products do just that, offering students an early and interactive introduction into coding, programming and AI,” Ye adds.
artificial intelligence | biometrics | camera | DFRobot | facial recognition | research and development | schools