# SmartCheck Parking Patrol — License Plate Scanner & ALPR

> License Plate Scanner & ALPR (iPhone/iPad app by SmartCheck.)

- Source: https://appshunter.io/ios/app/smartcheck-parking-patrol/id6769258548 (this page in markdown: same URL + `.md`)
- Developer: [SmartCheck](https://appshunter.io/developer/1892236202)
- Category: Business, Productivity
- Price: Free
- Age rating: 4+
- Requires: iOS 16.4 · 66 MB
- Languages: American English
- Released: 2026-06-19
- Data updated: 2026-08-05
- User reviews in markdown: https://appshunter.io/ios/app/smartcheck-parking-patrol/id6769258548/reviews.md

## What is SmartCheck Parking Patrol?

SmartCheck Parking Patrol is a mobile app for parking patrol, vehicle checks, license plate scanning, and patrol record sharing.

Use your smartphone camera to scan license plates with AI-powered OCR. Check vehicles during patrols, identify checked and unchecked vehicles, match plates against permit or registered vehicle lists, and keep a searchable patrol record.

SmartCheck helps you record who checked which vehicle, when, and where.

Key features:
・AI license plate recognition
・License plate OCR scanning
・Checked, unchecked, and new vehicle detection
・Permit, registered vehicle, and allowlist matching
・Watchlist and blacklist matching
・Unauthorized parking records
・Long-stay parking visibility
・Vehicle check history
・Site, area, and patrol record management
・Web dashboard integration

SmartCheck does not replace visual inspection or safety checks. It helps you keep better records while continuing your existing patrol workflow.

Use SmartCheck for private parking, monthly parking, resident parking, permit parking, unauthorized parking checks, long-stay vehicle checks, patrol records, and vehicle verification.

Replace paper notes and manual handovers with searchable vehicle records, patrol history, and team visibility.


## Version history (last 5 releases)

### 1.1.29 — 2026-07-31

• Improved iOS build reliability and native dependency consistency.
• Updated internal iOS components to provide a more stable foundation for future improvements.
• Includes minor stability and reliability improvements.

### 1.1.27 — 2026-07-24

Major update for parking patrol, number-plate recognition, and patrol-record sharing.

• Improved the end-to-end vehicle recognition flow, from scanning to clearer result, status, and image presentation.
• Refined in-progress, error, and patrol-state feedback to make on-site operation easier to understand.
• Added a sample-image flow for checking the recognition experience when a camera is unavailable.
• Strengthened handling for patrol and detection data, including sync, retry, duplicate detection, and history consistency.
• Improved the handling of records when location data is unavailable.
• Enhanced the connection between mobile patrol results and the web management dashboard.
• Improved iPhone and iPad layouts, transitions, image thumbnails, and detail views in portrait and landscape.
• Improved stability around launch, sign-in, scan start/stop, offline pending work, and recovery.
• Updated native dependencies to support continued reliability improvements.

This release substantially improves the foundation for parking patrol, vehicle verification, and record sharing.

### 1.1.16 — 2026-07-01

Improves sample image recognition, scan saving, result map reliability, model delivery, and sync behavior.

### 1.1.14 — 2026-07-01

Free, Lite, Standard, and Business plan handling is now reflected consistently across the mobile app and dashboard. This update also improves guest handoff, scan usage display, and patrol result reliability.

### 1.1.13 — 2026-06-25

- Added English language support for a better multilingual experience.
- Improved the scan and results screens.
- Refined the demo/sample scan flow for easier first-time testing.
- Improved stability and fixed minor issues.

---

*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-08-05.*