Choosing an AI CCTV Vendor: 7 Things to Check
Blog post from Superb AI
Selecting an AI CCTV vendor requires evaluating compatibility with existing cameras and NVRs, support for on-premises or edge deployment, independently measured false-alarm performance, definitions and flexibility of detectable events, retention of event and response records, maintenance terms, and proven results at comparable sites. The source emphasizes that demonstrations may not reflect real-world conditions, since lighting, network capacity, camera placement, and site layouts can affect performance after deployment. Organizations should assess whether current camera resolution and angles are adequate, determine server needs for non-cloud deployments, pilot systems to establish acceptable alert rates, and clarify whether new detection requirements require costly model retraining. It also recommends comparing vendors using consistent questions, validating claims at the intended site, and separating quotations into hardware, software, deployment, and operational costs to identify total ownership costs and potential savings.
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