Smart Cane: Project Smart Cane

SMART CANE

Device make for the helping for the blind people who can not detect the obstacle so this device help blinds for find ways.We are working on development of advance white cane using ATMEGA 328 microcontroller. This device having ability of detecting availability of human being and also measures the distance of obstacle. For which we are using ultrasonic sensor for measurement of distance and PIR (pyro electric infrared sensor) sensor used for detecting availability of human being. So basically it will going to measure the distance of the obstacle and it will gives response to blind people by menace of vibration using vibrator motor.

A white cane is a mechanical device dedicated to detect static obstacles on the ground, holes, uneven surfaces, steps and other hazards via simple tactile-force feedback. Its light weightiness and the capability to be folded into a small piece can be advantageous to carry around when not required. These simply designed canes are only capable of detecting below waistline obstacles like street curves, steps and stair- cases and simple guidance between distances. Although these canes are capable of detecting obstacles, receiving feed- back is very low.

CIRCUIT DIAGRAM

COMPONENT LIST

1) Microcontroller(ATMEGA 328) Arduino Nano

2) PIR sensoR

3) Ultrasonic sensor

4) Vibrator motor

5) LED

6) LED display

7)Power source

(1) Easy To Wearable on Hand.

(2) Compact Device.

(3) Rechargeable Battery.

(4) High efficacy.

(5) Less Power Consume.

(6) Accurate Measure Distance.

(7) Low Cost.

(8) Easy To Find Obstacle.

(9) Detect Human Being Motion.

DISADVANTAGE

(1) PIR Sensor Not Complete Work in Sun Light.

(2) Ultrasonic Sensor Not Accurate Distance Measure above 4 m

A low cost, sturdy and robust arduino based Mobile Device was designed and developed for Visually Impaired People with the help of ultrasound sensor. The designed prototype can be made more equipped by making the sensor rotate to make it a perfect device for a visually impaired person. Future work will concentrate on improving the performance of the prototype model. The system was developed in close association with potential users. Feedback was taken during the problem formulation, concept design and prototype evaluation stages which were critical for achieving our objectives. Initial experiments with the target group demonstrated their utility in real life scenarios Users were able to detect raised obstacles like side of a truck, horizontal bar and the edge of a table much before coming in contact with them.