“Eyedentify” is devised especially for the visually impaired to recognize people with the help of a cap fitted with camera and image processing unit.
An easily wearable device that recognizes common faces and basic surrounding objects, and describes these to the wearer through audio. A camera could be used for a video feed, which is run through a machine-learning program in an embedded computer to detect the faces of known people. A headband or cap was chosen since it is an attire suitable for walking.
An easily wearable device that recognizes common faces and basic surrounding objects, and describes these to the wearer through audio. A camera could be used for a video feed, which is run through a machine-learning program in an embedded computer to detect the faces of known people. A headband or cap was chosen since it is an attire suitable for walking.
When a person who is blind is wearing the face recognition system enabled cap, the modular computer system (Raspberry Pi) of the face recognition system receives an input video frame captured by the camera. The input video frame may comprise a person’s face/facial features in front of the camera.
After that, the modular computer detects the facial features in the received input. Subsequently, the modular computer system compares the facial feature detected in the received input video frame with one or more historic facial images stored in the memory of the modular computer system.
When the facial feature is found in the memory on the comparison, the modular computer system sends the audio file with the name of the person that corresponds to the matched face to the amplifier (HXJ8002) and the speaker (general purpose, 8 Ohm). When the face/facial feature is not found in the memory on the comparison, the modular computer system sends a default audio file with a sound indicating no matches to the amplifier and the speaker. In this way, the face recognition system enabled cap assists the person who is blind to identify the person in front of them.