Obstacle detection and object identification play a crucial role in enhancing safety and independence of blinds and individuals with visual impairments mobility as it empower users to navigate their surroundings with greater confidence and autonomy, enabling them to participate more fully in daily activities and interact with their environment more effectively. This is achieved with a number of smart sensors each one playing a special role Obstacle Detection: Our wearable device is equipped with five LiDAR (Light Detection and Ranging) sensors, three in front (left, right and low-height obstacles), one at the left side and one at the right side of the shoulders. These sensors emit signals and detect the reflections to measure the distance between the user and nearby obstacles. When an obstacle is detected within a certain range, the device alerts the user through auditory cues and haptic feedback (vibrations). Object Identification: In addition to detecting obstacles, the device can also classify objects based on their characteristics by using special cameras and AI-based computer-vision sofware. It can differentiate between low-lying objects like curbs or steps, hanging obstacles like tree branches, or larger obstacles like walls or furniture. This classification helps the user understand the nature of the obstacle and navigate accordingly. Sensors and Feedback Mechanisms: Wearable devices for the blind often utilize a combination of sensors and feedback mechanisms to provide real-time information to the user. Our system uses sensors that can detect obstacles in the user's path, while vibrational feedback patterns can convey the distance and direction of the obstacle. The vibration feedback is specially used to signal objects at the left or right side of the person Auditory cues, such as beeps and spoken instructions, also supplement the feedback to provide additional information about the environment. Data Processing and Interpretation: The sensor data collected by the wearable device is processed in real-time and anonymously to identify obstacles and objects in the user's surroundings. This processing involves algorithms that analyze the sensor data and classify objects based on predefined criteria set by the user during setup process. Machine learning techniques is also be employed to improve the accuracy of object recognition over time, based on the user's feedback and interaction with the device. User Interface and Interaction: Wearable devices for the blind typically feature user- friendly interfaces designed for easy interaction by individuals with visual impairments. Our system includes tactile buttons and most importantly voice commands, to help blind person easily operate the device. Integration with Navigation Systems: Our wearable device includes integrated navigation system and optionally smartphone app to provide additional functionality such as route planning, destination guidance, and location-based information. This integration enables users to navigate unfamiliar environments more effectively and independently.