System Overview:

• Hardware: The system utilizes the STM32WB5MM-DK board equipped with Bluetooth, a time-of-flight (ToF) range sensor, an RGB LED, and a display. Mounted strategically at the loading bay, the board gathers data and provides visual cues to the warehouseman.
• Software: The board runs Arduino code developed using STM32duino and STM32duinoble libraries. The accompanying app, prototyped with MIT App Inventor, allows truckers to interact with the system and receive updates.

Workflow:

1. Truck Arrival: As a truck approaches, the system broadcasts its dock name via Bluetooth. Upon connecting, the trucker initiates the docking procedure.
2. Docking Guidance: The ToF sensor guides the driver by measuring the distance to the dock, providing real-time feedback through the app.  When correctly parked, the trucker presses the “Park” button on the app.
3. Warehouseman’s Role: Upon starting their shift, warehouse personnel see the park status on the STM32WB5MM-DK board and lock the truck’s wheels using button 1. The trucker receives a locked indication on their app.
4. Loading/Unloading: The loading/unloading process proceeds as usual.
5. Departure: Upon completion, the warehouseman unlocks the wheels and sends a "ready to leave" message through the system by using button 2. The trucker receives a notification and can safely depart.

Benefits:

• Enhanced Safety: Clear communication and real-time guidance ensure precise truck positioning, minimizing collision risks.
• Improved Efficiency: Automated steps and clear visual cues expedite docking and departure, reducing waiting times.
• Streamlined Communication: The system facilitates easy trucker-warehouseman communication, eliminating misunderstandings and delays.

Current Stage and Future Steps:

This project is in the proof-of-concept phase, welcoming feedback for further development. Future iterations could focus on:

• Mobile App Enhancement: Develop a native app with advanced features and user interface optimization.
• Position of components: In the end design the position of each part should be placed in function of it’s working. The bluetooth antenna must be placed in function of reception for the trucker in the cabin. The tof sensor is best placed outside the loading bay and its target is pointing to a reference point on the truck. Buttons, display and RGB LED inside the loading bay for the warehouseman.
• Scalability: Explore options for deploying the system across multiple docks and integrating with existing warehouse management software.

Conclusion:
This proof-of-concept demonstrates the potential of sensor-based automation to improve safety and efficiency in truck loading bays. With further development and refinement, this innovative solution has the potential to revolutionize logistics operations, benefiting both companies and drivers.

The app prototype was created using MIT App Inventor. While combining STM32 boards with MIT App Inventor required effort, I hope this project can help others to use this in their fast prototyping projects. Therefore I've added a "steps to reconstruct" document to get a head start in your own project. The Arduino code is well documented via comments and the App is build with "code blocks" that make a really easy reading of the program. It's self documented ;-).