AI Slop Code Risk Monitor

bytedeco/javacv

Name: bytedeco/javacv — Java Code Quality & Security Review | AI Slop Code Risk Monitor
Creator: AI Slop Code Risk Monitor

Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).

Java interface to OpenCV, FFmpeg, and more

0.9 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for bytedeco/javacv, a Java project with 8,353 GitHub stars. SynthScan examined 56,239 lines of code across 124 source files, recording 31 pattern matches distributed across 4 syntactic categories. The legacy adjusted pattern signal is 0.9 (Low pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

0.9

Adjusted Signal

0.9

Raw Pattern Score

100%

Time Factor

2026-08-12

Last Push

8.4K

Stars

Java

Language

56.2K

Lines of Code

124

Files

Pattern Hits

2026-10-31

Scan Date

0.02

HC Hit Rate

Risk Review · Payload v1

Use each vector to guide manual verification of the underlying findings.

Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.

Cognitive Ownership Risk 2.8/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 29 finding(s).

Hallucinated Dependency & Supply Chain Risk 1.8/100 · LOW

Are imports declared and package/API names verified? 2 finding(s).

Agent Over-Engineering Ratio 0.0/100 · LOW

Are wrappers, guards, and repeated structures necessary? 0 finding(s).

PR Review Velocity Impact 4.6/100 · LOW

Which changes need focused human review? 31 finding(s).

What These Metrics Mean

Adjusted Signal: Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score: Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor: A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits: Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate: High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files: Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 2HIGH 0MEDIUM 2LOW 27

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 31 distinct pattern matches across 4 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Over-Commented Block27 hits · 27 pts

Severity	File	Line	Snippet	Context
LOW	samples/WebcamAndMicrophoneCapture.java	61	// RTMP url to an FMS / Wowza server	COMMENT
LOW	samples/Demo.java	61	// CanvasFrame, FrameGrabber, and FrameRecorder use Frame objects to communicate image data.	COMMENT
LOW	samples/Square.java	101	}	COMMENT
LOW	samples/Square.java	121		COMMENT
LOW	samples/Square.java	201	// PointerPointer rect = new PointerPointer(pt);	COMMENT
LOW	samples/Square.java	221	CvPoint rect = new CvPoint(4);	COMMENT
LOW	…in/java/org/bytedeco/javacv/RealSenseFrameGrabber.java	341	int deviceHeight = device.get_stream_height(RealSense.color);	COMMENT
LOW	src/main/java/org/bytedeco/javacv/MarkerDetector.java	161	// default:	COMMENT
LOW	…c/main/java/org/bytedeco/javacv/ProCamTransformer.java	421	this.surfaceParameters = surfaceParameters;	COMMENT
LOW	…in/java/org/bytedeco/javacv/ProjectiveTransformer.java	321	projectiveParameters = new double[] { 0, 0, 0, 0, 0, 0, 0, 0, 0};	COMMENT
LOW	…in/java/org/bytedeco/javacv/ProjectiveTransformer.java	441	// }	COMMENT
LOW	…in/java/org/bytedeco/javacv/ProjectiveTransformer.java	501	// // H = K2 * H * K1^-1	COMMENT
LOW	…in/java/org/bytedeco/javacv/ProCamColorCalibrator.java	161	// // smallest (power of 2) number of channel that can accomodate "counter" number of samples	COMMENT
LOW	…in/java/org/bytedeco/javacv/ProCamColorCalibrator.java	181	// }	COMMENT
LOW	src/main/java/org/bytedeco/javacv/Blobs.java	1	package org.bytedeco.javacv;	COMMENT
LOW	src/main/java/org/bytedeco/javacv/Blobs.java	21	//* *//	COMMENT
LOW	src/main/java/org/bytedeco/javacv/Blobs.java	41	//* Blob.BlobAnalysis( *//	COMMENT
LOW	src/main/java/org/bytedeco/javacv/Blobs.java	361	BorderRegion[BLOBMINX] = -1;	COMMENT
LOW	src/main/java/org/bytedeco/javacv/Blobs.java	381	//--------------------------	COMMENT
LOW	src/main/java/org/bytedeco/javacv/JavaCVCL.java	101	public JavaCVCL(boolean createPbuffer) {	COMMENT
LOW	…main/java/org/bytedeco/javacv/FFmpegFrameRecorder.java	1121	}	COMMENT
LOW	src/main/java/org/bytedeco/javacv/ProjectiveDevice.java	341	case 'G': order[i] = 1; break;	COMMENT
LOW	src/main/java/org/bytedeco/javacv/ProjectiveDevice.java	361	//Compensates for radial and tangential distortion. Model From Oulu university.	COMMENT
LOW	src/main/java/org/bytedeco/javacv/ProjectiveDevice.java	521	IplImage map2 = undistortMaps2[p];	COMMENT
LOW	src/main/java/org/bytedeco/javacv/ProjectiveDevice.java	541	// int height = mapx.height();	COMMENT
LOW	…va/org/bytedeco/javacv/ProjectiveColorTransformer.java	261	}	COMMENT
LOW	src/main/java/cl/eye/CLCamera.java	1	////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////	COMMENT

Hallucination Indicators2 hits · 20 pts

Severity	File	Line	Snippet	Context
CRITICAL	samples/PrincipalComponentAnalysis.java	34	private static final Slf4jLogger logger = (Slf4jLogger) org.bytedeco.javacpp.tools.Logger.create(PrincipalComponentA	CODE
CRITICAL	samples/BioInspiredRetina.java	37	private static final Slf4jLogger logger = (Slf4jLogger) org.bytedeco.javacpp.tools.Logger.create(BioInspiredRetina.c	CODE

AI Slop Vocabulary1 hit · 3 pts

Severity	File	Line	Snippet	Context
MEDIUM	src/main/java/org/bytedeco/javacv/MarkedPlane.java	201	// compute homography ... should we use a robust method?	COMMENT

Slop Phrases1 hit · 2 pts

Severity	File	Line	Snippet	Context
MEDIUM	samples/YOLONet.java	29	This is a basic implementation of a YOLO object detection network inference example.	CODE