Buzzer Circuit Board Positive and Negative Electrode Positions for Soldering Automation

A 5.5 KB dataset containing positive and negative electrode positions for buzzer circuit boards, likely derived from machine vision analysis. The data was authored by Xiaoyang Liu and last updated on April 15, 2026. The associated study reports an average relative error of less than 2% for recognizing electrode positions.

Use Cases

• Training machine vision models for electrode recognition based on geometric analysis of circuit board contours.
• Developing automated soldering equipment that requires precise coordinate input for positive and negative solder pads.
• Benchmarking the accuracy of contour detection and bounding rectangle algorithms for small electronic components.

Strengths

• Data is associated with a method reporting high recognition accuracy, with an average relative error of less than 2%.
• The dataset is small (5.5 KB), making it easy to download and inspect.
• It is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• Row count and column definitions are unknown, which limits suitability assessment and requires manual inspection after download.
• The description is technical but lacks direct data schema documentation; field semantics must be inferred.
• The dataset's tiny size suggests it contains a very limited number of samples or derived coordinates.

Provenance

Source

Xiaoyang Liu via figshare

Collection Method

Likely generated from machine vision analysis of buzzer circuit boards, using color feature extraction, filtering, threshold segmentation, and contour detection.

Freshness

Last updated 2026-04-15 17:35:51; freshness should be verified.