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OBJECT DETECTION SYSTEM FOR BLIND PERSON

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OBJECT DETECTION SYSTEM FOR BLIND PERSON

ORDINARY APPLICATION

Published

date

Filed on 13 November 2024

Abstract

ABSTRACT An object detection system (100) for blind person, comprising: a plurality of sensors configured to detect objects; an artificial intelligence (AI) module integrated with the sensors to enhance object recognition and environment description; a communication module configured to provide real-time feedback to the user; a processor within the AI module, configured to manage and optimize the detection process, ensuring accuracy and reliability. <>

Patent Information

Application ID202411087642
Invention FieldBIO-MEDICAL ENGINEERING
Date of Application13/11/2024
Publication Number48/2024

Inventors

NameAddressCountryNationality
NALLAPANENI MAHENDRALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
RACHURU HITESH SHARMALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
PRAVEEN PEDDINEDILOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
JASPREET SINGHLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Applicants

NameAddressCountryNationality
LOVELY PROFESSIONAL UNIVERSITYJALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of assistive technologies for visually impaired individuals and, in particular, to a system and method for an object detection system designed to enhance navigation, safety, and independence for blind person through the integration of advanced sensor and artificial intelligence (AI) technologies.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Navigation and object detection for blind person have long been significant challenges. Tradit , Claims:WE CLAIM:
1. An object detection system (100) for blind person, comprising:
a plurality of sensors configured to detect objects;
an artificial intelligence (AI) module integrated with the sensors to enhance object recognition and environment description;
a communication module configured to provide real-time feedback to the user;
a processor within the AI module, configured to manage and optimize the detection process, ensuring accuracy and reliability.

2. The system (100) as claimed in claim 1, wherein the plurality of sensors include ultrasonic sensors, infrared sensors, and cameras.
3. The system (100) as claimed in claim 1, wherein the communication module utilizes protocols including Wi-Fi, Bluetooth, and Ethernet for data transmission.
4. The system (100) as claimed in claim 1, wherein the processor is configured to analyze sensor data and apply advanced recognition algorithms to ensure reliable environment description.
5. The system (100) as claimed in claim 1, further comprising a user interface conf

Documents

NameDate
202411087642-COMPLETE SPECIFICATION [13-11-2024(online)].pdf13/11/2024
202411087642-DECLARATION OF INVENTORSHIP (FORM 5) [13-11-2024(online)].pdf13/11/2024
202411087642-DRAWINGS [13-11-2024(online)].pdf13/11/2024
202411087642-FIGURE OF ABSTRACT [13-11-2024(online)].pdf13/11/2024
202411087642-FORM 1 [13-11-2024(online)].pdf13/11/2024
202411087642-FORM-9 [13-11-2024(online)].pdf13/11/2024
202411087642-POWER OF AUTHORITY [13-11-2024(online)].pdf13/11/2024
202411087642-PROOF OF RIGHT [13-11-2024(online)].pdf13/11/2024
202411087642-REQUEST FOR EARLY PUBLICATION(FORM-9) [13-11-2024(online)].pdf13/11/2024

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