Submitted:
18 December 2023
Posted:
19 December 2023
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Abstract
Keywords:
1.1. Introduction:
1.2. Working Principal:

1.3. Advantages of Projects:
The purpose of this obstacle detection system to enable a blind person to move more quickly by providing knowledge about the complex environment around them.
It is cheaper as compared to guiding dogs which are very expensive. It can be afforded by every poor impaired person.
This obstacle detector makes impaired people independent of other. Who depends totally on other for their life activities.
Due to their complete reliance on other people obstacle identification and detection is a key goal for electronic mobility aids for the unsighted person.
This device has been developed in order to enhance the independent mobility of blind individuals.
In this detector we use vibrator which produce sound and inform blind person about any hurdles in their path.
With the help of obstacle detector visually impaired people are able to achieve their goals in this modern word.
In this study we present a narrative frame work for obstacle detection and classification that will let blind people who are partially seeing traverse environments on their own.
The suggested obstacle detection model can be use independently. Due to the fact that it can quickly and accurately detect harmful moving object in complex environment without knowing the position of obstacle detector.
1.4. Description of Component:
1.4.1. Arduino Processor:

1.4.2. 5. v Buzzer:

1.4.3. Infrasonic Sensor:

1.4.4. Arduino To Laptop Connector:

1.4.5. Male To Male Wire:

2.1. Literature Review:
3.1. Introduction:
3.2. Working Principal:
3.3. Material Used:
3.3.1. Bread Board:



3.3.2. Arduino:
3.3.2.1. What is Arduino?

3.3.2.2. Arduino UNO:


3.3.2.2.1. Male To Male Wire:
3.3.2.2.2. Voltage Regulator:
3.3.2.2.3. DC Power Barrel Jack:
3.3.2.2.4(3.3). V Pin:
3.3.2.2.55. V Pin:
3.3.2.2.6. Ground Pins:
3.3.2.2.7. Analog Pins:
3.3.2.2.8. A Tmega Micro Controller:
3.3.2.2.9. Power LED Indicator:
3.3.2.2.10. TX/RX:
3.3.2.2.11. PWM:
3.3.2.2.12. Digital Input/output:
3.3.2.2.13. AREF:
3.3.2.2.14. Reset Button:
3.3.3. Arduino Power Supply:



3.3.4. Buzzer:

3.3.4.1. Magnetic Buzzer Structure:


3.3.4.2. Application:
3.3.5. Jumper Wires:
3.3.5.1. Types of Jumper Wires:
- male-to-male,
- male-to-female
- female-to-female.
3.3.5.1.1. Male to Male Jumper Wire:
cable length: 20 cm
Quantity : 10 wires
Random colour : white / yellow / orange / blue / black / red
Material : plastic + tin plating copper

3.3.5.1.2. Male to Female Jumper Wire:
- Easy to plug.
- Appropriate length for jumping.
- Length: 20 cm
- Male to female socket
- Five different colours: red / yellow/ green/ white/ black
- Jumpers are made from 26 AWG wires
- Material: Plastic

3.3.5.1.3. Female To Female wire:
- It connect two points to each other without soldering.
- It is reusable
- It is in expensive and easy to use.
- Length: 10cm, 20cm, 30cm
- Colour: white, blue, gray, brown, orange ,black, red, yellow, green, purple (each cable includes 4 of each colour)
- Fit breadboard.

3.3.6. Infrasonic Sensor:
3.3.6.1. What is Infrasound?
3.3.6.2. Infrasonic Frequency Range Sepctrum:
3.3.6.3. GY-US42 Sensor:
- Its measuring range is from 20cm to 4m.
- Working temperature is 20 centigrade to 65 centigrade.
- Working current is 9 mA.
- Its size are 35mm x 23mm x28mm
- It has four pins.
- Explanation of the pins:
3.3.6.3.1. VCC (Voltage Common Collector):
3.3.6.3.2. GND (Ground):
3.3.6.3.3. Trig(Trigger):
3.3.6.3.4. Echo Output:

4.1. Result And Discussion:
5.1. Future Work
Interviews with additional people may be conducted and the poll may include additional questions about night vision, blind people in particular profession etc. To obtain a more precise estimate of the number of blind persons living in the district of Mardan and its related population.
Future work could verify both the safety and the accuracy of our created model which only detector barriers detection obstruction.
Future models may included technology that could help people with a variety of defects, such as both blind and deaf people, etc. Our model is only intended for blind peoples with the rest of the body parts operating normally.
Our created model demonstrated the detection only from the front. Future research could ensure that the detection is done in a well designed manner from the left, right and back sides as well.
The alarm system might use some enhancements. Similar to using audio recordings in the local language to train a visually impaired people.
Additionally, it is advantageous to change the 9v battery with a rechargeable battery.
References
- Rodríguez, Alberto, et al. "Assisting the visually impaired: obstacle detection and warning system by acoustic feedback." Sensors 12.12 (2012): 17476-17496. [CrossRef]
- Rodríguez, Alberto, et al. "Assisting the visually impaired: obstacle detection and warning system by acoustic feedback." Sensors 12.12 (2012): 17476-17496. [CrossRef]
- Rodríguez, Alberto, et al. "Assisting the visually impaired: obstacle detection and warning system by acoustic feedback." Sensors 12.12 (2012): 17476-17496. [CrossRef]
- Mocanu, Bogdan, Ruxandra Tapu, and Titus Zaharia. "When ultrasonic sensors and computer vision join forces for efficient obstacle detection and recognition." Sensors 16.11 (2016): 1807. [CrossRef]
- Mocanu, Bogdan, Ruxandra Tapu, and Titus Zaharia. "When ultrasonic sensors and computer vision join forces for efficient obstacle detection and recognition." Sensors 16.11 (2016): 1807. [CrossRef]
- Rodríguez, Alberto, et al. "Assisting the visually impaired: obstacle detection and warning system by acoustic feedback." Sensors 12.12 (2012): 17476-17496. [CrossRef]
- Rodríguez, Alberto, et al. "Assisting the visually impaired: obstacle detection and warning system by acoustic feedback." Sensors 12.12 (2012): 17476-17496. [CrossRef]
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- Hoang, Van-Nam, et al. "Obstacle detection and warning system for visually impaired people based on electrode matrix and mobile Kinect." Vietnam Journal of Computer Science 4 (2017): 71-83. [CrossRef]
- Rodríguez, Alberto, et al. "Assisting the visually impaired: obstacle detection and warning system by acoustic feedback." Sensors 12.12 (2012): 17476-17496. [CrossRef]
- Mocanu, Bogdan, Ruxandra Tapu, and Titus Zaharia. "When ultrasonic sensors and computer vision join forces for efficient obstacle detection and recognition." Sensors 16.11 (2016): 1807. [CrossRef]
- Dunai, Larisa Dunai, et al. "Obstacle detectors for visually impaired people." 2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM). IEEE, 2014. [CrossRef]
- Hoang, Van-Nam, et al. "Obstacle detection and warning system for visually impaired people based on electrode matrix and mobile Kinect." Vietnam Journal of Computer Science 4 (2017): 71-83. [CrossRef]
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