Part Detection Computer Vision Project

Revathy

Updated a year ago

71

views

4

downloads
Classes (64)
RTSA_btn
audio_ports
autoScale_btn
bnc1
bnc2
bnc3
bnc4
bnc5
bnc6
bnc7
bnc8
ch1_btn
ch1_led
ch2_btn
ch2_led
ch3_btn
ch3_led
ch4_btn
ch4_led
ch5_btn
ch5_led
ch6_btn
ch6_led
ch7_btn
ch7_led
ch8_btn
ch8_led
clearDisplay_btn
defaultSetup_btn
digital_btn
digital_io
display_port
faultHunter_btn
hard_drive
hi-pot_label
horizontalB_knob
horizontalS_knob
lan_ports
left_btn
markersH_knob
markersV_knob
markers_btn
multiPurpose_btn
navigate_btn
power_btn
probeComp
protocolDecode_btn
rear_bnc
right_btn
run/stop_btn
saveScreen_btn
single_btn
stop_btn
touchTurn_arrow
touchTurn_knob
touch_btn
triggerLevel_knob
usb_ports
usbb_port
verticalB_knob
verticalS_knob
vga_port
waveGen_btn
zoom_btn

Metrics

Try This Model
Drop an image or
Description

Here are a few use cases for this project:

  1. Assisting technicians in troubleshooting: The "Part Detection" model can be used to help technicians identify various knobs, buttons, and ports on electronic devices, making it easier for them to troubleshoot issues or operate unfamiliar equipment.

  2. Creating interactive guides for electronic devices: The model can be employed to generate informative visual guides and manuals for users, by automatically detecting and labeling all relevant components of a device, making it simple for users to understand the functions and usage of each part.

  3. Supporting disabled users: For visually impaired individuals, the "Part Detection" model could be integrated into accessibility tools that provide audio descriptions of device layouts, allowing them to interact with electronic equipment more easily and confidently.

  4. In inventory automation and quality control: Companies that manufacture, sell or repair electronic devices can use the "Part Detection" model to automatically catalog equipment and their components, ensuring that they have each part properly installed and in good condition.

  5. Assisting in electronic device recycling: The model can be used to detect and identify components and materials in discarded electronic devices, facilitating and streamlining the recycling process by separating valuable components for reuse or proper disposal.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            part-detection_dataset,
                            title = { Part Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Revathy },
                            howpublished = { \url{ https://universe.roboflow.com/revathy/part-detection } },
                            url = { https://universe.roboflow.com/revathy/part-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-11-27 },
                            }
                        
                    

Similar Projects

See More