Product overview A programmable vision and control kit built for learning, prototyping, and secondary development. Built around a performance Raspberry Pi 4B board and full Python support, this kit combines readymade vision functions with opensource code and tutorials to speed development and reduce setup time. Key benefits Readytouse vision functions: faceactivation, target tracking, smart carrier, and group control let you deploy interactive and coordinated behaviors without starting from scratch. Fast processing and extensibility: the Raspberry Pi 4B board provides the performance needed for realtime vision tasks while Python support enables rapid and algorithm development. Shorter learning curve: abundant tutorials and opensource example code guide beginners through setup and teach developers how to extend functionality for advanced projects. Flexible control options: builtin interactive modes plus programmatic control via Python accommodate users at all skill levels and workflows. What makes it stand out Integrated vision features that can be used immediately for demos or as building blocks for custom projects. Opensource resources and stepbystep guides that reduce development time and make the platform suitable for education and research. Designed for secondary development: intended to be expanded with sensors and custom software rather than being a closed product. Technical highlights Core processor: performance singleboard computer based on Raspberry Pi 4B. Programming: full Python support for scripting, algorithm development, and integration with external modules. Compatibility: supports common sensor interfaces and visual picking workflows for robotic applications. Form factor: compact and integrationfriendly footprint for mounting in prototypes and classroom setups. Performance: capable of handling tracking and recognition tasks while running custom Python code. Practical applications Classroom and workshops: use the builtin tutorials and example projects to teach computer vision, robotics, and Python programming to secondary and college students. Prototype visual picking systems: integrate camerabased object detection and control logic to evaluate pickandplace workflows in labs or smallscale operations. Interactive exhibits and multidevice demos: deploy faceactivated interactions and group control scenarios to create coordinated demonstrations or small collaborative robot fleets. Who this is for Educators and students who need a practical, codefriendly platform for handson learning. Makers and developers prototyping visiondriven robots and sensor systems. Engineers experimenting with visual picking and group coordination before scaling to production. What you get A performance Raspberry Pi 4B based board with preconfigured vision features. Python support and example projects for immediate development. Opensource code and tutorials to guide both beginners and advanced users through setup and . This product provides a practical, extensible foundation for vision and control projects, reducing initial setup effort while offering the flexibility required for deeper development and realworld prototyping.