Hi everyone! 👋
I want to share a desktop application I’ve been developing called VisuDock Live OCR. It turns standard CCTV cameras, webcams, RTSP feeds, and desktop screens into real-time text, digit, and license plate (ANPR) monitors.
🛠️ Why Local-First?
Most commercial camera OCR and ANPR systems rely heavily on expensive cloud subscriptions and send continuous video feeds over the internet. I wanted an offline desktop tool that operates completely locally on Windows with low latency, zero cloud fees, and full data privacy.
💡 Key Features
Universal Feeds: Connects to RTSP/ONVIF streams, USB webcams, HLS streams (.m3u8), WebRTC/MJPEG feeds, local video files, or live Screen/Window Capture.
Smart Motion Detection: Uses static-scene detection to skip OCR when no motion occurs, drastically cutting CPU overhead. Integrated with go2rtc for live feeds.
Dual OCR Engines: Specialized ANPR (license plate logging with blacklist/whitelist matching) and General OCR (monitoring machine displays, batch numbers, and text labels).
Instant Alerts & Auditing: Triggers local audio beeps, desktop pop-ups, Email (Gmail), or Telegram alerts, with full CSV audit logging.
⚙️ How It Works Under the Hood
Frame Ingestion: OpenCV pulls video frames from the configured source.
ROI Isolation: Defines Target Zones (Region of Interest) to focus CPU resources on relevant coordinates.
OCR Processing: Cropped frame regions are processed offline through RapidOCR.
Pattern Matching & Parsing: Filters detected text against regex patterns or exact target keywords entirely within Python.
🔗 Try It Out
You can check out the app, features, and documentation here:
👉 https://visudock.com
I’d love to hear your technical feedback or ideas! What integrations or performance optimizations would you like to see next?
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