This advanced development kit provides readytouse interaction features and a flexible development platform for education, research, and prototype projects. It combines face activation, group control, and builtin game modes with a performance single board computer for fast development and testing. Key benefits Ready interaction features: Faceactivation and group control enable natural user interaction and coordinated multiunit behavior without complex programming. Fast prototyping: Includes a performance Raspberry Pi 4B board and native Python support so you can start coding and testing right away. Learn and extend: Abundant tutorials and opensource code reduce setup time and make it easy to follow examples or create custom projects. Accessible for all skill levels: Dual control methods and Python support let beginners run examples and let experienced developers implement advanced logic. Versatile functionality: Builtin demos such as target tracking and smart carrier illustrate core capabilities and can be adapted for sensor integration and visual picking tasks. Features and compatibility Function: Faceactivation, group control, target tracking, smart carrier, visual picking and other interaction modes. Compatibility: Supports Raspberry Pi 4B board and Python development environments for secondary development. Performance: performance single board computing enables responsive realtime interaction and image processing. Development resources: Extensive tutorials and opensource example code for learning, , and classroom use. Practical use scenarios Classroom robotics and coding labs: Teach image processing, control logic, and multiagent coordination using real demonstrations and stepbystep tutorials. Prototype automation workflows: Implement visual picking and sensordriven decision making to validate algorithms before full system integration. Multirobot demonstrations: Deploy several units with group control to test coordination strategies, swarm behaviors, or collaborative transport tasks. This kit is suited for educators, students, and developers who need a practical, extensible platform for interactive vision projects and secondary development using Python and a Raspberry Pi 4B computing environment.