title: Braccio++ & Huskylens on Arduino IoT Cloud

Enhancing Smart Agriculture: Automatic Pest Sorting System with Braccio++ and AI Camera Huskylens

In an era where Automation and Artificial Intelligence (AI) play a crucial role in every industry, this project introduces an advanced agricultural product management solution. It combines the power of Arduino Braccio++, the latest smart robotic arm, with DFRobot Huskylens, an intelligent AI Vision Sensor, to create a system that sorts objects between "Vegetable" and "Pest," with real-time operation displayed on Arduino IoT Cloud.

Main System Components (Hardware Architecture)

For the system to operate accurately and stably, high-performance hardware that works seamlessly together is essential:

Arduino Braccio++: An educational industrial-grade robotic arm powered by the Arduino Nano RP2040 Connect board. Its key feature is the use of Smart Servos that communicate via the RS485 protocol, allowing for highly precise control of position, speed, and torque compared to conventional servos.
DFRobot Huskylens: An AI Vision Sensor camera equipped with an integrated Kendryte K210 processor chip, enabling "Object Recognition" without an internet connection (Edge AI). In this project, we Train it to differentiate between models of vegetables and pests.
Arduino IoT Cloud: A cloud platform that serves as a central hub for control and Data Logging. It allows users to view the operational status and the number of sorted objects via a Dashboard from anywhere in the world.

Software Operating Logic (Code Logic Analysis)

The system's operation is designed as a "Closed-loop System," starting from image data acquisition to physical actuation, with the following steps:

1. Sensing & Recognition

Huskylens operates in Object Recognition mode, sending data via the I2C interface to the Nano RP2040 board. When the camera detects an object matching the Trained data (e.g., ID 1 is vegetable, ID 2 is pest), the system processes the (X, Y) coordinates to confirm that the object is in a position where the robotic arm can pick it up.

2. Motion Planning

Upon receiving the object's ID, the program instructs the Braccio++ robotic arm to move in the following sequence:

Move to Home: Moves to the Standby position to prepare.
Pick up: Calculates coordinates to descend and pick up the object with the Gripper.
Sorting: If it's a Vegetable, the robotic arm moves to place it in the produce basket. If it's a Pest, it will be moved to a separate disposal point.

3. Cloud Connection (IoT Integration)

Each successful sorting action updates variables in the code to ArduinoCloud.update(). Data such as "Object Type" and "Count" are sent via Wi-Fi to the Dashboard, providing us with Real-time Statistics of the sorting process.

Project Highlights

Autonomous Operation: The system operates independently without human intervention (after AI Training).
Precision Engineering: The use of Braccio++ ensures high precision in object placement, reducing damage to produce.
Edge AI Performance: Huskylens processes images rapidly (High FPS), allowing for immediate system response.
Data Driven: Data from the IoT Cloud can be further analyzed to improve production processes or forecast pest populations in each season.

This project not only demonstrates the capabilities of the new generation of robotic arms but also serves as an excellent Prototype for applying AI and Robotics in future Smart Factories or Smart Farms.