PCB phir se labeling Computer Vision Project

new-workspace-rzrja

Updated 2 years ago

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Classes (35)
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Battery Button
Buzzer
Capacitor
Capacitor Jumper
Clock
Connector
Diode
Display
EM
Electrolytic Capacitor
Ferrite Bead
Fuse
Heatsink
IC
Inductor
Jumper
Led
PS
Pads
Pins
Potentiometer
Resistor
Resistor Jumper
Resistor Network
SK
Switch
Test Point
Transformer Transistor
Unknown Unlabeled
Zener Diode
\
iC
Description

Here are a few use cases for this project:

  1. PCB Quality Control: Use the computer vision model to automate the inspection process in printed circuit board (PCB) manufacturing, identifying components and their positions to ensure that they meet the required design specifications.

  2. PCB Repair and Troubleshooting: Assist technicians in quickly identifying faulty or damaged components on a PCB for repair or replacement, streamlining the troubleshooting process and reducing downtime for electronic devices.

  3. Automated Assembly Assistance: Aid robotic systems in the assembly process of electronic devices by providing component identification and orientation information, ensuring precise placement, soldering, and handling of PCB elements.

  4. Electronics Education: Utilize the computer vision model as a teaching tool in electronics courses, allowing students to practice component identification and circuit analysis on a variety of PCB designs.

  5. Reverse Engineering: Assist engineers in reverse-engineering electronic devices by identifying and labeling PCB components, helping them understand the design and functionality of the device for further analysis, modification, or reproduction.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            pcb-phir-se-labeling_dataset,
                            title = { PCB phir se labeling Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-rzrja },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-rzrja/pcb-phir-se-labeling } },
                            url = { https://universe.roboflow.com/new-workspace-rzrja/pcb-phir-se-labeling },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-11-21 },
                            }