Figure above shows the block diagram of the Raspberry Pi[3][10]. Ultimately, it's critical to test and assess how well the AI system is performing. This entails assessing measures like accuracy, precision, and recall and modifying the system as necessary. Testing the system in various settings and conditions allows for the evaluation of its performance. Logic control integration with sensors and actuators: To construct a full AI system, integrate the AI model with the sensor and actuator control logic. In order to do this, code must be written to receive sensor data and activate actuators based on the results of the AI model. For instance, the system might start a motor to move the camera in the direction of the object if the AI model recognises it in the camera image[2][5][8].