Sortix
Sortix
Research
Research
Misplacement of luggage, affecting 26 million items globally in 2022, highlighted inefficiencies in airport operations. Our project aimed to mitigate this by integrating mechanical and software solutions into a scalable luggage transfer system.
Key Insights:
Researched technologies such as robotic arms, AI, and actuators for baggage handling.
Evaluated materials (e.g., acrylic for ramps, PLA for 3D printing) for durability and weight.
Compared rotary and linear actuators, choosing linear for precise motion control.
Goals:
Build a reliable mechanism to transport luggage between platforms.
Develop a software system to optimize passenger flow and luggage tracking.
Misplacement of luggage, affecting 26 million items globally in 2022, highlighted inefficiencies in airport operations. Our project aimed to mitigate this by integrating mechanical and software solutions into a scalable luggage transfer system.
Key Insights:
Researched technologies such as robotic arms, AI, and actuators for baggage handling.
Evaluated materials (e.g., acrylic for ramps, PLA for 3D printing) for durability and weight.
Compared rotary and linear actuators, choosing linear for precise motion control.
Goals:
Build a reliable mechanism to transport luggage between platforms.
Develop a software system to optimize passenger flow and luggage tracking.
Misplacement of luggage, affecting 26 million items globally in 2022, highlighted inefficiencies in airport operations. Our project aimed to mitigate this by integrating mechanical and software solutions into a scalable luggage transfer system.
Key Insights:
Researched technologies such as robotic arms, AI, and actuators for baggage handling.
Evaluated materials (e.g., acrylic for ramps, PLA for 3D printing) for durability and weight.
Compared rotary and linear actuators, choosing linear for precise motion control.
Goals:
Build a reliable mechanism to transport luggage between platforms.
Develop a software system to optimize passenger flow and luggage tracking.
Research
Misplacement of luggage, affecting 26 million items globally in 2022, highlighted inefficiencies in airport operations. Our project aimed to mitigate this by integrating mechanical and software solutions into a scalable luggage transfer system.
Key Insights:
Researched technologies such as robotic arms, AI, and actuators for baggage handling.
Evaluated materials (e.g., acrylic for ramps, PLA for 3D printing) for durability and weight.
Compared rotary and linear actuators, choosing linear for precise motion control.
Goals:
Build a reliable mechanism to transport luggage between platforms.
Develop a software system to optimize passenger flow and luggage tracking.
Design
Design
The design process prioritized modularity, rapid prototyping, and reliability. Our final solution combined the strengths of multiple concepts and team contributions.
Mechanical Design:
Modular ramp system using laser-cut acrylic for lightweight and durability.
3D-printed hinges optimized to minimize gaps for seamless luggage movement.
Linear actuator incorporated for controlled and precise bridge extension.
Raised railings added to prevent luggage from falling during transport.
Software Implementation:
Python-based code developed on Raspberry Pi to control actuators and Q-Arm.
Linear coding strategy ensured reliability and simplified debugging.
Program included user-friendly interface to display flight and luggage information.
Engineering Approach:
Modular design allowed independent testing of parts.
Pre-determined rail spacing simplified adjustments during testing and refinement.
The design process prioritized modularity, rapid prototyping, and reliability. Our final solution combined the strengths of multiple concepts and team contributions.
Mechanical Design:
Modular ramp system using laser-cut acrylic for lightweight and durability.
3D-printed hinges optimized to minimize gaps for seamless luggage movement.
Linear actuator incorporated for controlled and precise bridge extension.
Raised railings added to prevent luggage from falling during transport.
Software Implementation:
Python-based code developed on Raspberry Pi to control actuators and Q-Arm.
Linear coding strategy ensured reliability and simplified debugging.
Program included user-friendly interface to display flight and luggage information.
Engineering Approach:
Modular design allowed independent testing of parts.
Pre-determined rail spacing simplified adjustments during testing and refinement.
The design process prioritized modularity, rapid prototyping, and reliability. Our final solution combined the strengths of multiple concepts and team contributions.
Mechanical Design:
Modular ramp system using laser-cut acrylic for lightweight and durability.
3D-printed hinges optimized to minimize gaps for seamless luggage movement.
Linear actuator incorporated for controlled and precise bridge extension.
Raised railings added to prevent luggage from falling during transport.
Software Implementation:
Python-based code developed on Raspberry Pi to control actuators and Q-Arm.
Linear coding strategy ensured reliability and simplified debugging.
Program included user-friendly interface to display flight and luggage information.
Engineering Approach:
Modular design allowed independent testing of parts.
Pre-determined rail spacing simplified adjustments during testing and refinement.
Design
The design process prioritized modularity, rapid prototyping, and reliability. Our final solution combined the strengths of multiple concepts and team contributions.
Mechanical Design:
Modular ramp system using laser-cut acrylic for lightweight and durability.
3D-printed hinges optimized to minimize gaps for seamless luggage movement.
Linear actuator incorporated for controlled and precise bridge extension.
Raised railings added to prevent luggage from falling during transport.
Software Implementation:
Python-based code developed on Raspberry Pi to control actuators and Q-Arm.
Linear coding strategy ensured reliability and simplified debugging.
Program included user-friendly interface to display flight and luggage information.
Engineering Approach:
Modular design allowed independent testing of parts.
Pre-determined rail spacing simplified adjustments during testing and refinement.
Development
Development
The development phase focused on iterative testing and integration to refine both hardware and software.
Prototyping:
Iteratively 3D-printed hinges and laser-cut ramps to ensure precise alignment.
Pin-slot connections added to stabilize actuator movements.
Hinges adjusted for seamless transitions between ramp components.
Software Development:
Parameterized functions controlled Q-Arm and actuator movements.
Tested and optimized Q-Arm angles and gripper strength to ensure reliable luggage handling.
Challenges and Solutions:
Addressed overcurrent errors in Q-Arm by limiting rotational angles.
Enhanced bridge stability for lightweight prototype luggage through hinge modifications.
The development phase focused on iterative testing and integration to refine both hardware and software.
Prototyping:
Iteratively 3D-printed hinges and laser-cut ramps to ensure precise alignment.
Pin-slot connections added to stabilize actuator movements.
Hinges adjusted for seamless transitions between ramp components.
Software Development:
Parameterized functions controlled Q-Arm and actuator movements.
Tested and optimized Q-Arm angles and gripper strength to ensure reliable luggage handling.
Challenges and Solutions:
Addressed overcurrent errors in Q-Arm by limiting rotational angles.
Enhanced bridge stability for lightweight prototype luggage through hinge modifications.
The development phase focused on iterative testing and integration to refine both hardware and software.
Prototyping:
Iteratively 3D-printed hinges and laser-cut ramps to ensure precise alignment.
Pin-slot connections added to stabilize actuator movements.
Hinges adjusted for seamless transitions between ramp components.
Software Development:
Parameterized functions controlled Q-Arm and actuator movements.
Tested and optimized Q-Arm angles and gripper strength to ensure reliable luggage handling.
Challenges and Solutions:
Addressed overcurrent errors in Q-Arm by limiting rotational angles.
Enhanced bridge stability for lightweight prototype luggage through hinge modifications.
Development
The development phase focused on iterative testing and integration to refine both hardware and software.
Prototyping:
Iteratively 3D-printed hinges and laser-cut ramps to ensure precise alignment.
Pin-slot connections added to stabilize actuator movements.
Hinges adjusted for seamless transitions between ramp components.
Software Development:
Parameterized functions controlled Q-Arm and actuator movements.
Tested and optimized Q-Arm angles and gripper strength to ensure reliable luggage handling.
Challenges and Solutions:
Addressed overcurrent errors in Q-Arm by limiting rotational angles.
Enhanced bridge stability for lightweight prototype luggage through hinge modifications.
Concept
Concept
The project envisioned an innovative, scalable system for improving airport luggage management.
Core Features:
Modular ramp and bridge mechanism ensuring seamless luggage transfer.
Software to display real-time flight information and manage luggage flow.
Scalability:
Future potential for AI integration to enhance real-time decision-making.
Modular design supports material upgrades or additional functionality.
Impact:
Improves passenger experience through reliable luggage handling.
Enhances airport operational efficiency with automated solutions.
The project envisioned an innovative, scalable system for improving airport luggage management.
Core Features:
Modular ramp and bridge mechanism ensuring seamless luggage transfer.
Software to display real-time flight information and manage luggage flow.
Scalability:
Future potential for AI integration to enhance real-time decision-making.
Modular design supports material upgrades or additional functionality.
Impact:
Improves passenger experience through reliable luggage handling.
Enhances airport operational efficiency with automated solutions.
The project envisioned an innovative, scalable system for improving airport luggage management.
Core Features:
Modular ramp and bridge mechanism ensuring seamless luggage transfer.
Software to display real-time flight information and manage luggage flow.
Scalability:
Future potential for AI integration to enhance real-time decision-making.
Modular design supports material upgrades or additional functionality.
Impact:
Improves passenger experience through reliable luggage handling.
Enhances airport operational efficiency with automated solutions.
Concept
The project envisioned an innovative, scalable system for improving airport luggage management.
Core Features:
Modular ramp and bridge mechanism ensuring seamless luggage transfer.
Software to display real-time flight information and manage luggage flow.
Scalability:
Future potential for AI integration to enhance real-time decision-making.
Modular design supports material upgrades or additional functionality.
Impact:
Improves passenger experience through reliable luggage handling.
Enhances airport operational efficiency with automated solutions.
©2024 MANDRO DESIGN
GO BACK TO TOP
©2024 MANDRO DESIGN
GO BACK TO TOP