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An Ai Based Intelligent Pen With Walking Stick For Visually Challenged People

Abstract: ABSTRACT OF THE INVENTION A device that helps those who are visually impaired because their eyes are unable to see can face a number of safety issues in daily life, especially when going out alone to walk. This invention is a smart multifunctional electronic walking stick with a smart pen for blind people. Stick handle, walking stick body, and smart pen are all part of the invention. A GPS sensor is built into the body of a walking stick, which sends the blind man's current position to the guardian's phone via a short message in real time, allowing the guardian to quickly monitor the blind man's walking path, On the stick, three ultrasonic sensors are used from the front, left, and right directions. After that, obstacles are detected by measuring the time it takes for an ultrasonic wave to return from and direction after being reflected by an obstacle. The clear path is the direction from which the wave returns in the shortest amount of time. This component receives data from sensors and uses it to make intelligent decisions by using AI algorithm about where obstacles should be avoided. Stick emits a warning sound to alert the pen to the presence of obstacles. Blind people may be alerted to the location of obstacles by hearing various warning sounds from a buzzer attached to their pen. The pen also includes respiratory sensors and a voice sensor. Those who can't rely on their vision can get voice guidance from a voice sensor. Blind people use voice to communicate with the machine. If the alarm sound from the stick is captured, a pen may also identify a blind person's walking stick. It detects the stick and sounds an alarm through a buzzer attached to a pen. As a consequence, if the blind misplaces their walking stick, they will soon find it.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
21 April 2021
Publication Number
18/2021
Publication Type
INA
Invention Field
BIO-MEDICAL ENGINEERING
Status
Email
hodaiml@mallareddyuniversity.ac.in
Parent Application

Applicants

1. Dr. Thayyaba Khatoon Mohammed
Professor & HoD, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad Ph:9542435324 E-Mail: hodaiml@mallareddyuniversity.ac.in
2. Dr. Rajasekar Rangasamy
Associate professor, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad. Ph:9443273878 E-Mail: rajasekaratr@gmail.com
3. Dr. C. Mageshkumar
Associate Professor, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad. Ph: 6385919129 Email: mageshchinna@gmail.com
4. Dr. Pranayanath Reddy
Associate Professor, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad. Ph:9010843555 E-Mail: a.pranayanathreddy@mallareddyuniversity.ac.in
5. Mr. T Vinay Simha Reddy
Assistant Professor, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad. Ph:8790669802 E-Mail: vinaysreddy@mallareddyuniversity.ac.in
6. Mr. V. Ramachandran
Assistant Professor, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad. Ph: 9994989059 Email: ramachandran.veer@gmail.com

Inventors

1. Dr. Thayyaba Khatoon Mohammed
Professor & HoD, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad Ph:9542435324 E-Mail: hodaiml@mallareddyuniversity.ac.in
2. Dr. Rajasekar Rangasamy
Associate professor, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad. Ph:9443273878 E-Mail: rajasekaratr@gmail.com
3. Dr. C. Mageshkumar
Associate Professor, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad. Ph: 6385919129 Email: mageshchinna@gmail.com
4. Dr. Pranayanath Reddy
Associate Professor, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad. Ph:9010843555 E-Mail: a.pranayanathreddy@mallareddyuniversity.ac.in
5. Mr. T Vinay Simha Reddy
Assistant Professor, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad. Ph:8790669802 E-Mail: vinaysreddy@mallareddyuniversity.ac.in
6. Mr. V. Ramachandran
Assistant Professor, Department of Computer Science and Engineering- AI &ML, School of Engineering,Malla Reddy University, Maisammaguda, Dhullapally Road, Hyderabad. Ph: 9994989059 Email: ramachandran.veer@gmail.com

Specification

Claims:WE CLAIMS
AN AI BASED INTELLIGENT PEN WITH WALKING STICK FOR VISUALLY CHALLENGED PEOPLE COMPRISES:
1. 1. A walking stick made up of two parts: a stick handle and a walking stick shell. 2. 2. A pen that includes breathing sensors, a speech sensor, and a buzzer. 3. 3. According to argument 1, the Stick Body has a GPS sensor and three ultrasonic sensors embedded in it. 4. 4. A GPS sensor sends the blind man's current location to the guardian's phone via a short message in real time, according to claims 1 and 2. 5. To detect obstacles, three ultrasonic sensors are used from the front, left, and right directions, according to claims 1 and 2. 6. According to argument 2, the pen is alerted to the existence of obstacles by a buzzer. 7. Voice guidance can be obtained from a voice sensor, according to claim 2. 8. According to claim 2, the Respiratory sensor is used to detect the blind respiratory rate. , Description:BRIEF DESCRIPTION OF THE INVENTION
A smart pen and a smart walking stick are included in this invention. The blind can communicate with a walking stick through a buzzer attached to a smart pen. Blind people may carry a smart pen in their pocket to receive warning messages about obstacles in their path or whether their stick is missing. Sensors on the walking stick gather information about position and obstacles in the blind's left, right, and front.
Ultrasonic sensor
An ultrasonic sensor is a type of sensor that uses sound waves to detect an object. It works on the same principle as radar or sonar, which produces and absorbs high-frequency sound waves. Sensors measure the distance of an object by measuring the time it takes for the echo signal to be received after transmitting the signals and receiving the echo signals back. On the stick, three ultrasonic sensors are used from the front, left, and right directions. After that, obstacles are detected by measuring the time it takes for an ultrasonic wave to return from and direction after being reflected by an obstacle. The clear path is the direction from which the wave returns in the shortest amount of time. This component receives data from sensors and uses it to aid in intelligent decision-making by using AI algorithm.
Respiratory Sensors
Respiratory rate is a critical metric in a variety of health, home care, work, and sports applications. Pen embedded with respiration sensor which is used near to chest of blind people . One of the key vital signs, along with blood pressure, pulse, and temperature, is respiratory rate, which is the number of breaths someone takes per minute. At this rate of breathing, carbon dioxide leaves the lungs at the same rate as it enters. Breathing rates of less than 12 or more than 20 may indicate a problem with normal breathing. Respiration status can aid in the detection of apnea symptoms and provide early notice, diagnosis, and treatment.
Voice Sensor
A computer or program's ability to accept and interpret dictation or understand and carry out spoken commands is known as voice or speaker recognition. With the advent of AI and intelligent assistants, voice recognition has gained popularity and use. Voice recognition systems enable blind to interact with technology simply by speaking to it, enabling hands-free requests, reminders and other simple tasks. is a module that senses sound waves and converts them to electrical signals based on their strength.
It functions in the same way as our ears do, with a diaphragm that transforms vibrations into signals. A sound sensor, on the other hand, is made up of an in-built capacitive microphone, a peak detector, and a sound-sensitive amplifier (LM386, LM393, etc.). It is possible for the sensor to operate with these components:
• Sound waves travel through the molecules of air.
• The diaphragm in the microphone vibrates as a result of such sound waves, causing capacitance to shift.
• The shift in capacitance is then amplified and digitalized for sound strength processing.
GPS sensor
GPS sensors are antenna-equipped receivers that use a satellite-based navigation system that relies on a network of 24 satellites orbiting the earth to provide location, velocity, and timing data. It receives signals from satellites orbiting in the Global Positioning System (GPS) and uses them to measure location and velocity. For precise timing measurements, the GPS16X-HVS also provides an extremely accurate one-pulse-per-second (PPS) recording. It captures the location of blind on every second and the same can send to guardian mobile as a text message.
Buzzer
The buzzer is a small but effective part for adding sound to this innovation. It has a small and lightweight 2-pin structure that makes it easy to use on a pen. It will alert blind people about obstacles and misplaced sticks. By using the buzzer's beep tone, the blind may become conscious of these.

Documents

Application Documents

# Name Date
1 202141018486-COMPLETE SPECIFICATION [21-04-2021(online)].pdf 2021-04-21
1 202141018486-SEQUENCE LISTING(PDF) [21-04-2021(online)].pdf 2021-04-21
2 202141018486-DRAWINGS [21-04-2021(online)].pdf 2021-04-21
2 202141018486-SEQUENCE LISTING [21-04-2021(online)].txt 2021-04-21
3 202141018486-FORM 1 [21-04-2021(online)].pdf 2021-04-21
3 202141018486-REQUEST FOR EARLY PUBLICATION(FORM-9) [21-04-2021(online)].pdf 2021-04-21
4 202141018486-FORM-9 [21-04-2021(online)].pdf 2021-04-21
5 202141018486-FORM 1 [21-04-2021(online)].pdf 2021-04-21
5 202141018486-REQUEST FOR EARLY PUBLICATION(FORM-9) [21-04-2021(online)].pdf 2021-04-21
6 202141018486-DRAWINGS [21-04-2021(online)].pdf 2021-04-21
6 202141018486-SEQUENCE LISTING [21-04-2021(online)].txt 2021-04-21
7 202141018486-COMPLETE SPECIFICATION [21-04-2021(online)].pdf 2021-04-21
7 202141018486-SEQUENCE LISTING(PDF) [21-04-2021(online)].pdf 2021-04-21