Choosing a Vision AI Platform: 5 Questions Every Security Director Should Ask

Not all computer vision platforms are built the same. Before committing to a vendor, security directors and operations teams should pressure-test the following:

1. Does it run on existing hardware? Replacing cameras is expensive. The right platform integrates with your current infrastructure and runs on edge devices like NVIDIA Jetson — not just in the cloud.

2. Can non-technical staff configure it? If every new detection scenario requires an engineer, you’ve bought a prototype, not a product. Look for natural language configuration.

3. What’s the false-positive rate? Alarm fatigue is a real operational risk. Ask vendors for precision/recall benchmarks in real-world deployments, not lab conditions.

4. Where does the data live? For regulated industries, on-premise deployment isn’t optional — it’s a requirement. Confirm the platform supports air-gapped or local-only configurations.

5. How fast can you go from prompt to deployment? Time-to-scenario matters. The best platforms collapse months of custom engineering into minutes of configuration.

Argu was built to answer yes to all five.