Planning a Real-Time Crime Center for a Town of 20,000

Chiefs and city managers who read about real-time crime centers usually reach the same point, which is wanting to see what one would look like for a town like theirs rather than for New York or a county of a million people, and this article answers that with a sample plan for a small town. The town in this plan is fictional, the numbers are an illustration built from published averages for towns of its size, and nothing in it describes a real deployment, a customer or a result. What it offers instead is a way of thinking through the decisions in order, with every assumption stated so you can replace ours with yours. If you have not yet read our guide to what a real-time crime center is, it is worth starting there.

The town in this plan

The town in this plan has about 20,000 residents and a police department of 40 sworn officers, which is close to the national average of about 1.9 officers per 1,000 residents for cities between 10,000 and 25,000 people in the FBI's published staffing tables. Everything else in the profile is chosen to be proportional to a town of that size, and where a figure is our assumption rather than a published average, the table says so.

The 80 city-owned cameras are spread across city hall and the police station, the larger parks, the public works yard, the library, the transit stop and two blocks downtown. None of them was bought for a crime center, which is typical, and most are recorded by whatever system the facility happened to buy, with nobody watching them live.

The rules the town starts with

The town begins with eight rules, each chosen because it covers something that happens often enough to matter and rarely enough that an alert is worth interrupting someone. The detection behind each rule matters, because different kinds of detection behave differently, and the table describes how each would work.

Two of these rules need more explanation than the table allows, and the first is vandalism, which works differently from the others because vandalism is not a single thing a fixed detector can recognize, so the plan uses an AI model that looks at frames from a few chosen cameras on a schedule and answers a written question about them. That makes it flexible, but it is not real time, since it reviews footage after the fact rather than as it happens, and each check costs money in the usage of the underlying AI model, so the town runs it on only a handful of high-value cameras and reviews the results each morning. The gunshot rule depends on a sensor the town may not have, since cameras do not detect sound, and if the town has no gunshot detection system the rule simply does not exist.

Where each alert goes

The routing in the table above is the town's choice rather than a feature of the software, and it could be set up quite differently, by type of alert and by hour, to suit how the town already works. What matters in the plan is that each destination was agreed with the people at the other end before anything was switched on. The patrol supervisor agreed to receive the park, transit, yard and plate alerts on the understanding that the rules would be narrowed if the volume became a burden. The public works director agreed to take the corridor and yard alerts during working hours. And the county 911 director agreed to receive fights, falls and gunshots only after a supervisor had looked at the clip, because the county's dispatchers already handle calls for every town in the county and cannot absorb unverified alerts.

That last agreement shaped the whole design, because the county was the one partner the town could not simply instruct. Our guide to getting camera alerts to 911 dispatch covers the questions the town and the county would work through, including what each alert must carry to be useful on the radio.

Staffing

The town does not hire an analyst in the first year, because at the volume its eight rules are expected to produce, the checking can be absorbed by the patrol supervisor on each shift, with the morning review queue handled by a records clerk or detective as part of their day. The assumption is testable, and the town tests it in a 60 to 90 day pilot before committing, counting alerts per rule per shift and the minutes each one takes, as our guide to running a camera analytics pilot describes.

The plan also sets out in advance when that answer would change. If the alerts needing a check regularly take more than a set share of a supervisor's shift, the town either narrows the rules or funds a part-time analyst for the evening hours, when most alerts arrive. Event days are planned separately, with a lighter rule set for the summer festival and the high school's home games, and with a second officer assigned to watch alerts for those evenings. Our article on staffing a real-time crime center when software does the watching explains the method behind these numbers.

Where it runs: two paths

In the first year the town runs the system itself, on one server with a graphics processor in the town's small data room, close to the cameras, looked after by the town's IT contractor. VIDIZMO's live analytics handle from about 32 to more than 100 cameras on a single RTX 5090 graphics card, depending on how many frames per second are analyzed and how many detection models run on each camera, so a town of this size would expect to sit within one server's range, subject to confirmation in the pilot. Because the analysis runs on the town's own network, the video streams stay local, and only alerts and clips go out to the people and systems that receive them.

The second path is joining the county sheriff's shared deployment, where the county carries the servers, the IT support and the connection to dispatch, and the town's cameras and footage stay separate from every other agency's. The plan sets out the conditions under which the town would switch, which are losing its IT contractor, needing a server replacement it has not budgeted for, or finding that its incidents increasingly cross into neighboring towns. The town's cameras stay where they are either way, so the switch is a change of host rather than a new project. Our guide to real-time crime centers for small agencies explains how to weigh that choice.

Year one to year three

The plan does not include prices, because prices depend on the vendor, the region and the deal, but it does set out which costs exist and which fund carries each one, since that is what decides whether the program survives its third year.

The plan assumes a grant pays for the first year and the general fund carries everything from the second year onward, and it records the funder's written answer about what it will pay for at renewal. Our guide to budgeting a real-time crime center past the grant period goes through each line in more depth.

The route through council

The town has a surveillance technology ordinance, so the program goes to council before the pilot rather than after it, with a short packet the council can actually read. The packet contains a use policy that lists the eight rules and states what the system will not be used for, a retention schedule for alerts and clips, a list of who can see the footage and how every viewing is recorded, a statement that facial recognition is not part of the program, the routing agreements with the patrol supervisors, public works and the county, and a commitment to report back at the end of the pilot with the numbers it produced.

How VIDIZMO fits this plan

The plan is built on the way VIDIZMO works, though the decisions in it apply to any vendor. AI Live Insight fetches streams directly from the town's existing cameras, or from any recorder that serves RTSP or ONVIF, and runs each of the eight rules per camera, including zone rules for the park, transit stop and yard, activity recognition for fights and falls, plate reading against a hotlist and, through AI Intelligence Hub, the scheduled vandalism checks with their token cost. The operator dashboard brings forward the cameras with active alerts, alerts go out by email and by webhook to the systems each recipient already uses, including a text message service, and every alert keeps a record of who acknowledged and resolved it. VIDIZMO Nexus records and plays back the footage, so the town can retire its separate facility recorders over time, and the same deployment can later move to the county's shared system without replacing any cameras.

To see how this would look on your own cameras, see how the same setup serves public safety across a city's departments.