Deep License Plate Recognition
Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Production candidateStrong trust signals across adoption, maintenance, install readiness, and review status.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add parkpow/deep-license-plate-recognitionAudit report
Safe to try · 92/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for Document processing
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Document processing
Trust label
Production-ready
Install path
Command ready
Use when
- Document processing workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 662 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 85/100 quality profile
- 1 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one Document processing task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Production candidate
Strong trust signals across adoption, maintenance, install readiness, and review status.
Ownership
CHECKNo approved owner claim yet
Install path
PASSnpx skills add parkpow/deep-license-plate-recognition
Repository
PASShttps://github.com/parkpow/deep-license-plate-recognition
License
PASSMIT
Good signals
- AI review approved
- Recently maintained repository
- Meaningful GitHub adoption signal
Review before install
- Quality score needs review
Recommended action
Shortlist for production use, then run a normal repository and dependency review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
Stirling PDF
#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere
Tesseract
Tesseract Open Source OCR Engine (main repository)
MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Docling
Get your documents ready for gen AI
Overview
Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 6/9/2026
- Published
- 6/6/2026
Frameworks & Tools
Decision snapshot
Primary pick
662 GitHub stars
Audit Snapshot
Install and adoption review
- Security
- 87/100
- Maintenance
- 100/100
- Install
- 92/100
Claim this skill
Project owners can request ownership review. Approved claims unlock a stronger trust signal.
Author
parkpow
@parkpow
Tags
Platform Fit
Health Signals
- GitHub stars
- 662
- Quality score
- 53/100
- Last GitHub push
- Jun 2, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Production candidate
- OwnershipNo approved owner claim yetCHECK
- Install pathnpx skills add parkpow/deep-license-plate-recognitionPASS
- Repositoryhttps://github.com/parkpow/deep-license-plate-recognitionPASS
- LicenseMITPASS
- Maintenance7d since pushPASS
- AI reviewApproved with no listed issuesPASS
Related Skills
Stirling PDF
#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere
80.5K stars · 0 installsTesseract
Tesseract Open Source OCR Engine (main repository)
74.6K stars · 0 installsMinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
66.8K stars · 0 installsDocling
Get your documents ready for gen AI
61.3K stars · 0 installs