The CAD models were created to design a compact case that can hold all major hardware components, including the LiDAR sensor, speaker, camera, and processing unit. The design ensures that the components fit securely inside the enclosure while allowing the device to be mounted on a walking cane.
The top-view CAD model shows the overall layout and structure of the AI Cane device.
The AI Cane casing was 3D-printed to create a lightweight, customized enclosure for the hardware. The assembled case holds the electronic components securely and is designed to attach to a walking cane.
A slider mount is attached to the casing so the device can be easily removed and reattached to the cane when needed. This improves usability and makes the design more practical for testing and daily use.
The initial prototype shows the early version of the AI Cane hardware design. This prototype helped test the placement of components, the size of the enclosure, and the overall feasibility of attaching the device to a walking cane
The assembled device demonstrates how the AI Cane is mounted onto a traditional walking cane. This setup allows the camera and LiDAR sensor to capture information from the user’s surroundings while the embedded speaker provides audio feedback.
The internal components include the camera, LiDAR sensor, speaker, processing unit, wiring, and supporting electronics. These parts work together to detect objects, measure nearby obstacles, and provide real-time feedback to support safer navigation.