Vezo is an advanced ID cane that utilizes lidar and computer vision to improve the existing technology used by the visually impaired. The target market of the product are those who are visually impaired and seek the need to use simple walking aids similar to a walking cane or a guide animal. The product improves the functions of the walking cane, by outfitting it with advanced sensors and high-end feedback systems. The Vezo will reduce the number of possible injuries caused by obstacles unknown to the visually impaired user by utilizing various modules and controls. The technical components consist of combinations of a high definition camera and Lidar sensor used for distance and object recognition; machine learning AI for object and text identification; and communication between the device and the user via internal motors used for vibration feedback. All of the components will be controlled via Raspberry Pi and Teensy Microcontroller both designed and programmed to be able to run every component as efficiently as possible, all housed within a custom fitted 3d printed casing as well as be fitting with its own portable battery housing. The Vezo fits perfectly in the market for modern visually impaired walking aids, which to this day is currently very stagnant. It will be planned to be released as a fully assembled device in order to avoid assembly confusion and minimize human error. Once the Vezo is utilized by the user, this gadget will prove to become their new favorite walking aid device.
