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Resistor Color Code Detector System

Abstract: ABSTRACT Artificial Intelligence based resistor variety code locator is planned by with the assistance of python and Open CV, it likewise assists us with computing the opposition of a resistor by taking image of a resistor, the picture is handled through the code that we have composed, then the variety groups imprinted on the resistor is recognized and the obstruction esteem is determined by a technique where initial two variety groups address the initial two digits of opposition esteem, the third variety band addresses the multiplier worth of opposition and the last variety band addresses the resilience of the obstruction esteem. Generally, the resistor has four groups however it can likewise have 5 or 6 groups as well. Every single circuit utilized for all the electronics-based projects comprise of an enormous number of distinctively esteemed resistors, to gather them as well as to destroy them the resistors must be ordered in view of their obstruction values, to help this cycle our development will be of extraordinary assistance. Different purposes of our development will be to distinguish number of varieties present in a picture, with slight alterations in the code we have composed this cycle can be utilized to assist with shading blind individuals recognize the varieties present in any of pictures displayed to them through web, it can likewise in engaging children who likes to play with variety ID games. Many schools, foundations, electronics-based ventures will be the ones to get greater part of the advantages from our creation.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
02 September 2022
Publication Number
10/2024
Publication Type
INA
Invention Field
ELECTRONICS
Status
Email
Parent Application

Applicants

NAVEEN KUMAR S
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING AND COMPUTER SCIENCE AND ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
MANIVEL P
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING AND COMPUTER SCIENCE AND ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
SATHIYAN K A
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING AND COMPUTER SCIENCE AND ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
RAJESH KANNA K
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING AND COMPUTER SCIENCE AND ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
DHARANEESH P R
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING AND COMPUTER SCIENCE AND ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
JAIPRASAD R
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING AND COMPUTER SCIENCE AND ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
DEEPANA D
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING AND COMPUTER SCIENCE AND ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
MOHANAPRIYA A P
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING AND COMPUTER SCIENCE AND ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
KARTHIGA M
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING AND COMPUTER SCIENCE AND ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
THARSANEE R M
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING AND COMPUTER SCIENCE AND ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.

Inventors

1. NAVEEN KUMAR S
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
2. MANIVEL P
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
3. SATHIYAN K A
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
4. RAJESH KANNA K
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
5. DHARANEESH P R
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
6. JAIPRASAD R
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
7. DEEPANA D
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.
8. MOHANAPRIYA A P
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM, ERODE(DT), TAMILNADU-638401.

Specification

We claim,
[CLAIM 1] Al-based smart resistance detector system wherein; the method comprising:
A camera for capturing images of resistors;
Deep Learning techniques to identify the type of resistors;
[CLAIM 2] Artificial intelligence technique to recognize the color codings of the resistors
The method of claim 2, further comprising:
Checking the color-coding schemes of the resistors and displaying the type of resistors
The method of claim 2, further comprising:
A display unit to display the type of resistors based on color coding.

Documents

Application Documents

# Name Date
1 202241050168-Form2 Title Page_Complete_02-09-2022.pdf 2022-09-02
2 202241050168-Form1_As Filed_02-09-2022.pdf 2022-09-02
3 202241050168-Drawings_As Filed_02-09-2022.pdf 2022-09-02
4 202241050168-Description Complete_As Filed_02-09-2022.pdf 2022-09-02
5 202241050168-Correspondence_As Filed_02-09-2022.pdf 2022-09-02
6 202241050168-Claims_As Filed_02-09-2022.pdf 2022-09-02
7 202241050168-Abstract_As Filed_02-09-2022.pdf 2022-09-02