Smart Obstacle Avoidance Helmet

Smart Obstacle Avoidance Helmet - Week 4:  Finished Product Assembly and Final Testing Final Assembly and Hardware Integration This week marked a crucial milestone as we finalized the hardware integration and assembly of the Smart Obstacle Avoidance Helmet. After multiple 3D printing failures , we opted for external processing services to ensure a high-quality print with improved material durability. 3D Printed Model Assembly We received the externally printed helmet components and confirmed their structural integrity. The headgear frame was carefully assembled to ensure secure positioning for the ToF sensors . Additionally, we finalized the outer shell design , focusing on a sleek, lightweight, and robust structure that enhances both functionality and comfort. Final Product Showcase Below is the final assembled version of our Smart Obstacle Avoidance Helmet : [Final Product] Component Installation and Wiring To complete the assembly, we: Mounted the STM32 microcontroller and ...

Smart Obstacle Avoidance Helmet Development Log - Week 3:  Circuit and PCB Design,   Software Development and Distance Measurement Testing Finalized Circuit and PCB Design We designed the  final circuit diagram , integrating all components efficiently. Final Circuit Diagram [Circuit Diagram] Final  PCB  Design We developed a   PCB layout   to optimize   electrical connections   and minimize interference. [PCB  Design] Software Development Process This week, we focused on software development and testing for the STM32 + ToF400C distance measurement system , aiming to implement parallel operation for three ToF sensors to ensure synchronized and stable measurements. The development process is outlined below: 1. Single ToF Sensor Testing (Baseline Development) Before implementing a multi-sensor setup, we first tested a single ToF400C sensor using STM32 and Keil uVision : Clock Synchronization : Configured STM32's clock and pins to ensure co...

Smart Obstacle Avoidance Helmet Development Log - Week 2: 3D Modeling, Circuit Design, and Component Soldering 3D Modeling For the helmet design, we took inspiration from the most handsome team member’s head dimensions to ensure a stylish yet comfortable fit. We adopted a segmented design to minimize 3D printing curvature, optimize manufacturability, and reduce material strength requirements. Key design considerations include: Segmented Structure : Reducing curvature allows for easier machine production, lowers material strength dependency, and minimizes the need for support structures. Bonus: it also makes the helmet easier to store and travel with. Interlocking Mechanism : Using triangular slots and inserts , reinforced with curved ridges , to enhance helmet stability and prevent lateral movement. Ventilated Design : Ensures breathability and comfort while also reducing material consumption for a more eco-friendly approach.  Dedicated Hardware Compartment : A specialized compart...

Smart Obstacle Avoidance Helmet Development Log -  Week 1: Project Motivation and Design Approach Project Background and Motivation In daily life, visually impaired individuals often face risks of injury due to obstacles, while safety concerns are also prominent in industrial environments and cycling scenarios. Traditional guiding canes, although effective, have limitations in complex environments, especially in detecting high-level obstacles such as hanging objects, tree branches, and signboards, as well as sudden unexpected obstructions. To address these challenges, we propose the development of a smart obstacle-avoidance helmet that enhances obstacle detection capabilities for visually impaired individuals and people navigating complex work or daily environments. Our inspiration comes from automotive radar technologies used in autonomous driving systems, such as Tesla’s Autopilot and Baidu Apollo. These systems leverage multiple sensors and intelligent algorithms to perceive the...