19-10-2012, 12:35 PM
ELECTRONIC EYE
Electronic_eye.doc (Size: 85 KB / Downloads: 85)
ABSTRACT
This paper proposes a method for detecting frontal pedestrian crossings from image data obtained with a single camera as a travel aid for the visually challenged. This would be mounted on a pair of glasses, will be capable of detecting the existence & location of a pedestrian crossing, to measure the width of the road, & to detect the color of the traffic lights. The process of detecting a crossing is a pre-process followed by the process for detecting the state of the traffic lights. It is important for the visually challenged to know whether or not a frontal area is a crossing. The existence of a crossing is detected in two steps. In the first step, edge detection & pattern detection are employed to identify the crossing. In the second step, the existence of a crossing is detected by checking the periodicity of white lines on the road using projective invariants. Then the traffic light detector is used to check the pedestrian light & the time display. The calculated time is then compared with the average time needed for a blind person to cross. The observations are relayed through voice signals using the voice vision technology. Thus, this effective technology aids mobility for the visually impaired throughout the globe.
INTRODUCTION
Blindness is the most feared of all the human ailments. CROSSING busy roads can be a challenge for people with good vision. For blind people, it is a perilous activity. Our electronic eye aims at helping millions of blind and visually impaired people lead more independent lives.
The electronic eye can be adapted to help the blind or visually impaired get around without a walking stick or seeing-eye dog. Canes and other travel aids with sonar or lasers can alert the user to approaching objects. Global Positioning Systems (GPS) can tell what streets, restaurants, parks and other landmarks the user is passing. Devices like these are very good at giving locations and directions. But the limitations of G.P.S. technology mean that they cannot pin down the location of a curb or crosswalk and frequently fail in areas that have many tall buildings and high traffic.
TRAFFIC LIGHT DETECTOR
The function of the traffic light detector is to recognize if the pedestrian light is on for the user to cross the road. If the user happens to reach the road when the pedestrian light is already on, the time indicated by the timer display in the traffic light must be detected and compared with the time required by the user to cross the road. If the user can cross the road safely, the voice speech system will instruct him to cross the road. This process can be effectively done by having an image database in the system and comparing the obtained image of camera to detect if pedestrian light is on and to detect the time left to cross the road.
CONCLUSION
The development of mobility aids for the visually impaired is a challenging task that has many potential solutions. A sophisticated mechanism designed to enhance the mobility of the blind is intended to help people who cannot recover their eyesight by normal medical procedures. Blind pedestrians in the greatest danger are those who must cross wide, busy roads. This system along with the available low technology aids can relieve the visually challenged of being dependent on others and lead normal lives. This effective navigation system would improve the mobility of millions of blind people all over the world.
Electronic_eye.doc (Size: 85 KB / Downloads: 85)
ABSTRACT
This paper proposes a method for detecting frontal pedestrian crossings from image data obtained with a single camera as a travel aid for the visually challenged. This would be mounted on a pair of glasses, will be capable of detecting the existence & location of a pedestrian crossing, to measure the width of the road, & to detect the color of the traffic lights. The process of detecting a crossing is a pre-process followed by the process for detecting the state of the traffic lights. It is important for the visually challenged to know whether or not a frontal area is a crossing. The existence of a crossing is detected in two steps. In the first step, edge detection & pattern detection are employed to identify the crossing. In the second step, the existence of a crossing is detected by checking the periodicity of white lines on the road using projective invariants. Then the traffic light detector is used to check the pedestrian light & the time display. The calculated time is then compared with the average time needed for a blind person to cross. The observations are relayed through voice signals using the voice vision technology. Thus, this effective technology aids mobility for the visually impaired throughout the globe.
INTRODUCTION
Blindness is the most feared of all the human ailments. CROSSING busy roads can be a challenge for people with good vision. For blind people, it is a perilous activity. Our electronic eye aims at helping millions of blind and visually impaired people lead more independent lives.
The electronic eye can be adapted to help the blind or visually impaired get around without a walking stick or seeing-eye dog. Canes and other travel aids with sonar or lasers can alert the user to approaching objects. Global Positioning Systems (GPS) can tell what streets, restaurants, parks and other landmarks the user is passing. Devices like these are very good at giving locations and directions. But the limitations of G.P.S. technology mean that they cannot pin down the location of a curb or crosswalk and frequently fail in areas that have many tall buildings and high traffic.
TRAFFIC LIGHT DETECTOR
The function of the traffic light detector is to recognize if the pedestrian light is on for the user to cross the road. If the user happens to reach the road when the pedestrian light is already on, the time indicated by the timer display in the traffic light must be detected and compared with the time required by the user to cross the road. If the user can cross the road safely, the voice speech system will instruct him to cross the road. This process can be effectively done by having an image database in the system and comparing the obtained image of camera to detect if pedestrian light is on and to detect the time left to cross the road.
CONCLUSION
The development of mobility aids for the visually impaired is a challenging task that has many potential solutions. A sophisticated mechanism designed to enhance the mobility of the blind is intended to help people who cannot recover their eyesight by normal medical procedures. Blind pedestrians in the greatest danger are those who must cross wide, busy roads. This system along with the available low technology aids can relieve the visually challenged of being dependent on others and lead normal lives. This effective navigation system would improve the mobility of millions of blind people all over the world.