Deployment planning
Can AI analytics run on the cameras you already have?
By Jaren Ng
Many security teams assume AI analytics means replacing every camera. Often it doesn't. Modern analytics software can sit on top of the cameras, recorders and video management system (VMS) you already own. The real question is whether your current setup gives the software footage it can work with. Here is how to find out before you spend on new hardware.
Check stream access first
Analytics software needs a live video stream it can connect to. Most IP cameras made in the last decade support standard streaming, but some recorders lock streams behind their own software. List each camera's make, model and how it connects: directly, through an NVR or through a VMS. Older analog cameras can usually be brought in with an encoder, but be warned, this is usually an expensive deployment.
Judge image quality by the task
A camera that is fine for recording may not be fine for every detection. Counting people at an entrance needs far less detail than finding a branded bag at a gate. Look at each camera's footage during the day, at night and in bad weather. Glare, low light, dirty lenses and long distances cause more missed detections than the software itself.
Size compute to your streams
AI runs on a processing server, on-site or in the cloud. The amount of computing power depends on how many cameras you connect, their resolution and frame rate, and which detections run on each. Start with the cameras that matter most rather than connecting all of them on day one. A pilot of 10 to 20 cameras shows real load before you size the full system.
Map your network
Adding analytics adds traffic. Check that the network between cameras, recorder and processing server can carry the extra streams without dropping frames. Agree and plan with your IT team which ports need to be open, how remote support will connect and what happens if the internet connection drops. On-premise processing keeps detections running even when the outside connection is down.
Start with what you have
Your existing camera estate is often the fastest route to useful AI analytics. A short technical review shows what will work today, what needs adjusting and where new hardware earns its cost.