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ON-PREMISES DEPLOYMENT

Get Lot Vulture On-Premises

Run our privacy-first vehicle occupancy monitoring engine locally on your hardware. Select your platform below to download and install.

Lot Vulture Setup for Windows

The Windows installer bundles all required dependencies, services, and the local web dashboard for standard workstations or servers.

Download for Windows (.exe)

Version v2026.09.03-86069f0 | Windows 10/11 or Windows Server 2019+ | Includes uninstaller

Windows Installation Steps

1

Run Installer Setup

Run the downloaded LotVulture_Setup_v2026.09.03-86069f0.exe file. Accept the licensing terms and choose the destination folder.

2

Configure Local Services

The installer will register Lot Vulture background services and setup the local SQLite database automatically.

3

Open Local Dashboard

Launch the app to open the setup wizard. Set up your administrator credentials, configure your RTSP camera links, and map your parking spaces.

Lot Vulture Setup for Linux

Deploy Lot Vulture as an isolated stack using Docker and Docker Compose. This configuration is highly optimized and matches production environments.

bash / terminal 
# 1. Wget the official Docker Compose file from our repository
wget https://raw.githubusercontent.com/lotvulture/lotvulture/master/docker-compose.yml

# 2. Run the application containers in the background
docker compose up -d

Compose File: v1.0.0 | Pulls backend & frontend images automatically | Runs offline-first

Linux Installation Steps

1

Check Prerequisites

Ensure your Linux distribution (Ubuntu, Debian, Rocky, RHEL, etc.) has Docker and Docker Compose v2.0+ installed and running.

2

Fetch Compose File & Launch

Run the wget command to retrieve the YAML file, then execute docker compose up -d in that folder to start the containers.

3

Configure Spaces

Open http://localhost:8000 (or your server's IP address) in your browser to access the local setup dashboard and configure your camera streams.

System Requirements

Component Minimum (1–4 Cameras) Recommended (5+ Cameras / High-FPS)
Operating System Windows 10/11 / Ubuntu 20.04+ / Debian 11+ Windows Server / Ubuntu 20.04+ / Debian 11+
Processor (CPU) 4-Core x86_64 CPU (Intel i5 or AMD Ryzen 5) 8-Core x86_64 CPU (Intel i7/Xeon or AMD Ryzen 7/EPYC)
Memory (RAM) 8 GB RAM 16 GB+ RAM
GPU (Optional) None (CPU execution enabled) NVIDIA GPU with CUDA support (4GB+ VRAM)
Network Local LAN connection to IP RTSP cameras Gigabit LAN with dedicated camera VLAN