Lot Vulture
Turn existing security cameras into smart parking sensors
One time fee1,963 impressions#8 of its week1 comment
Turns existing IP security cameras into on-premise AI parking occupancy sensors.
- for
- Parking facility operators and managers looking to replace ground sensors.
- pricing
- freemium · free trial
- license
- open source
- v2026.09.03-86069f0Release v2026.09.03-86069f0a month ago
Key features
- Edge AI on-premise — Runs AI locally on a CPU or GPU server, no video leaves the network.
- Camera-agnostic integration — Works with any IP camera that provides an RTSP stream or snapshot URL.
- Interactive polygon editor — Draw and adjust parking space boundaries directly on live video.
- Real-time occupancy overlay — Shows green/red polygons on video to indicate free or occupied spots.
- Alerting via MQTT/Webhooks/Email — Automatically notifies when reserved spaces are occupied or limits are exceeded.
- Historical audit timeline — Scrub video timeline to verify vehicle arrival and departure for dispute resolution.
- Privacy-first design — All processing is offline; raw video never streams to the cloud.
- Scalable GPU acceleration — Commercial license adds CUDA/DirectML GPU support for multi-camera, high-density lots.
Use cases
- Guide drivers to empty spots via digital signage or mobile apps.
- Automate patrols and generate alerts for reserved-space violations.
- Analyze peak hours, turnover rates, and average stay durations for pricing strategy.
- Provide visual evidence to resolve parking disputes.
- Eliminate costly ground-loop sensor installations in new or retrofitted lots.
Lot Vulture FAQ
Does Lot Vulture stream video to the cloud?+
No, all AI detection, storage and logging run locally on your property’s network.
Do I need special AI cameras?+
No, any standard IP camera with an RTSP stream or snapshot URL works.
What happens if the internet goes down?+
The system continues operating offline for up to 14 days; only license heartbeats to the cloud are affected.
How does it handle adverse weather or night glare?+
Dual-threshold confidence logic filters out noise from rain, snow, shadows and glare.
What hardware is required?+
A standard CPU-only computer for small setups; GPU acceleration is available with the Commercial License for larger deployments.
Summarized by DevHunt from lotvulture.com · Sep 28, 2026. Details may change; check the official site.
