{"slug": "lot-vulture-turn-existing-rtsp-cameras-into-live-parking-occupancy-maps", "title": "Lot Vulture – Turn existing RTSP cameras into live parking occupancy maps", "summary": "Lot Vulture has launched a software platform that converts existing RTSP, ONVIF, or snapshot IP cameras into real-time parking occupancy maps, using on-device computer vision to avoid the $200–$500 per-spot cost of in-ground magnetic sensors. The system, available as a Windows installer or Docker container, offers live dashboards, historical scrubbing, hysteresis-based alerting, and supports cameras from Hikvision, Dahua, Axis, Hanwha, and Ubiquiti.", "body_md": "**Lot Vulture** turns any existing IP or RTSP camera into an automated, real-time parking lot intelligence system. *Circling the lot so you don't have to*, Lot Vulture performs on-device computer vision inference directly on your camera feeds—delivering live space-level occupancy maps, historical scrubbing timelines, customizable alerts, and deep parking utilization analytics without requiring expensive physical in-ground sensors.\n\n| Challenge with Traditional Solutions | How Lot Vulture Solves It |\n|---|---|\nIn-Ground Magnetic Sensors ($200–$500/spot): Expensive to core-drill, battery-dependent, and frequently destroyed by snowplows and asphalt repaving. |\nUses Existing Cameras: Turn standard CCTV, RTSP, or snapshot IP cameras into smart parking sensors with zero pavement alteration. |\nProprietary Sensor Hardware & Vendor Lock-In: Requires purchasing expensive proprietary single-vendor cameras or per-space overhead light indicators. |\nCamera & Hardware Agnostic: Works with any standard RTSP, ONVIF, or snapshot IP camera from any manufacturer (Hikvision, Dahua, Axis, Hanwha, Ubiquiti, etc.). |\nNoisy AI & False Flickers: Minor lighting shifts or tree shadows cause constant \"space full / space free\" notification spam. |\nDual-Threshold Hysteresis: Sticky state transitions ensure rock-solid, flicker-free dashboard data. |\nManual Lot Audits: Attendants driving golf carts with clipboards or radios providing only delayed, periodic estimates. |\nLive Digital Dashboard & Historical Timeline: Real-time occupancy map, second-by-second scrubbing, and automated alerting. |\n\n- 📍\n**Interactive Visual Space Editor:** Define exact parking spots in seconds with a high-precision polygon canvas powered by Vue-Konva. Supports angled, parallel, and tight-row parking configurations. - ⚡\n**High-Performance Edge AI Engine:** Powered by`vulturevision`\n\n(C++ ONNX Runtime with native DirectML on Windows and CUDA on Linux) with automatic CPU fallback. - 🔭\n**Visual Scrubbing History Timeline:** Scrub through every minute of the day with second-by-second precision. Click any space to see exact visual snapshots of state transitions. - ⚙️\n**Smart Sensitivity (Hysteresis Logic):** Dual-threshold certainty eliminates status bouncing during dusk, rain, snow, or transient occlusions. - 🔔\n**Multi-Channel Alerting Subsystem:** Trigger Webhooks, MQTT messages (ideal for Home Assistant & smart signage), or Emails on lot capacity thresholds, single space transitions, or camera health events. - 🔄\n**Human-in-the-Loop \"Improve AI\" Feedback:** Operators can flag and correct misdetections directly from the UI to continuously feed the training pipeline. - 🛡️\n**Role-Based Multi-User Access:** Granular roles for operators, managers, and view-only analytics dashboards.\n\nDownload the latest standalone installer (`LotVulture_Setup_*.exe`\n\n) from the ** Releases** page.\n\n- Packages the complete web dashboard, C++ DirectML runtime, and background Windows service daemon.\n- No WSL, Docker, or external dependencies required.\n- Launch the app or open\n`http://localhost:8000`\n\nin your browser.\n\nRun the official container with GPU acceleration:\n\n```\ndocker run -d \\\n  --name lotvulture \\\n  --restart unless-stopped \\\n  -p 8000:8000 \\\n  --gpus all \\\n  -v lotvulture-data:/var/lib/lotvulture \\\n  ghcr.io/lotvulture/lotvulture:latest\n```\n\n*(If running on a system without an NVIDIA GPU, omit --gpus all — Lot Vulture will automatically utilize optimized CPU inference.)*\n\nAccess the dashboard at ** http://localhost:8000**.\n\n```\nversion: '3.8'\n\nservices:\n  lotvulture:\n    image: ghcr.io/lotvulture/lotvulture:latest\n    container_name: lotvulture\n    restart: unless-stopped\n    ports:\n      - \"8000:8000\"\n    environment:\n      - VULTURE_LV_HOME=/var/lib/lotvulture\n    volumes:\n      - lotvulture-data:/var/lib/lotvulture\n    deploy:\n      resources:\n        reservations:\n          devices:\n            - driver: nvidia\n              count: all\n              capabilities: [gpu]\n```\n\nRun with:\n\n```\ndocker compose up -d\n```\n\n**Connect Your Cameras:** Add RTSP stream URLs or snapshot endpoints in the Cameras view.**Draw Parking Zones:** Use the visual canvas editor to map the four corners of each space.**Automate & Monitor:** Real-time occupancy states stream immediately over WebSockets to your live dashboard.**Trigger Actions:** Stream lot availability to digital LED road signs via MQTT, notify staff when capacity hits 95%, or log audit history.\n\nLot Vulture is source-available with a commercial tier:\n\n| Feature | Community Edition | Commercial License |\n|---|---|---|\nInference Model |\nBundled Standard Model | High-Accuracy Commercial Model |\nVisual Space Editor & Live Dashboard |\n✅ Included | ✅ Included |\nVisual History Timeline & Scrubbing |\n✅ Included | ✅ Included |\nWebhooks & MQTT Alerts |\n✅ Included | ✅ Included |\nGPU Acceleration (CUDA / DirectML) |\n✅ Included | ✅ Included |\nCommercial Monitoring Services |\n✅ Permitted (with baseline model) | ✅ Permitted (with licensed seats) |\nCloud Telemetry & Continuous Retraining |\n— | ✅ Included |\nPriority Support & Multi-Camera Scaling |\nCommunity | Dedicated |\n\nTo activate a commercial license or start a free 14-day trial, navigate to the **License & Billing** tab in your dashboard.\n\nWant on-demand parking space detection in your own application without managing on-prem infrastructure?\n\nUse the ** Lot Vulture Developer Cloud API** ($0.02 / image):\n\n```\ncurl -X POST \"https://api.lotvulture.com/v1/detect\" \\\n  -H \"Authorization: Bearer YOUR_API_KEY\" \\\n  -F \"image=@parking_lot.jpg\" \\\n  -F 'rois=[[[120,340],[250,340],[260,490],[110,490]]]'\n```\n\nArchitecture deep dive, local environment setup, and C++ engine compilation.[Developer Guide](/lotvulture/lotvulture/blob/master/docs/DEVELOPMENT.md):Running unit, integration, and performance tests.[Testing Guide](/lotvulture/lotvulture/blob/master/docs/TESTING.md):Guidelines for community contributions and pull requests.[Contribution Guidelines](/lotvulture/lotvulture/blob/master/CONTRIBUTING.md):\n\nCopyright (c) 2026 Lot Vulture, LLC. All rights reserved.\n\nThis software is licensed under the ** Lot Vulture Source License 1.0.0 (Adapted from PolyForm Shield License 1.0.0)**.\n\n**Permitted Use:** Broad permission to run, modify, and utilize the software internally and for commercial monitoring services.**Noncompete Condition:** You may not use the software to build, distribute, or sell a competing product or managed service, nor distribute modified vision engines designed to bypass licensing.**Commercial Model:** High-accuracy commercial neural network weights and cloud attestation assets are licensed separately under the[Commercial Terms of Service](/lotvulture/lotvulture/blob/master/LICENSE.md#definitions).\n\n**Lot Vulture** — *Making parking smarter, one spot at a time.*\n\n[Website](https://lotvulture.com) • [Report an Issue](https://github.com/lotvulture/lotvulture/issues)", "url": "https://wpnews.pro/news/lot-vulture-turn-existing-rtsp-cameras-into-live-parking-occupancy-maps", "canonical_source": "https://github.com/lotvulture/lotvulture", "published_at": "2026-09-03 14:38:55+00:00", "updated_at": "2026-09-03 14:52:26.582216+00:00", "lang": "en", "topics": ["computer-vision", "ai-products", "ai-infrastructure"], "entities": ["Lot Vulture", "Hikvision", "Dahua", "Axis", "Hanwha", "Ubiquiti", "Vue-Konva", "ONNX Runtime"], "alternates": {"html": "https://wpnews.pro/news/lot-vulture-turn-existing-rtsp-cameras-into-live-parking-occupancy-maps", "markdown": "https://wpnews.pro/news/lot-vulture-turn-existing-rtsp-cameras-into-live-parking-occupancy-maps.md", "text": "https://wpnews.pro/news/lot-vulture-turn-existing-rtsp-cameras-into-live-parking-occupancy-maps.txt", "jsonld": "https://wpnews.pro/news/lot-vulture-turn-existing-rtsp-cameras-into-live-parking-occupancy-maps.jsonld"}}