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Solution · Computer vision on existing cameras

Turn the cameras you already own into events you can act on.

Object, behavior, license plate, and anomaly detection layered onto your existing fleet. No rip-and-replace. Tec-Tel is camera-agnostic and picks the platform per site.

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  • NDAA-compliant
  • Platform-agnostic
  • 1,000+ deployments over 15 years
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Vision Intelligence is AI analytics layered onto the camera fleet you already own. Object, vehicle, behavior, license plate, and anomaly detection running on existing infrastructure via ONVIF and RTSP, plus deeper integrations with the major analytics platforms. Tec-Tel is camera-agnostic and picks the platform per site, not per house brand. NDAA-compliant.

No rip-and-replace
AI runs on the cameras you already own
1080p / 15fps
the baseline an existing camera needs to carry analytics
ONVIF / RTSP
overlays read the streams most modern cameras already output
Camera-agnostic
we pick the platform per site, not per house brand

§01  What the AI layer adds

From recorded video to structured events.

A camera records video. AI analytics turn it into structured events: a line crossed, a forklift in a pedestrian zone, a plate on the deny list, a fall on aisle 12 at 3:42 AM. Not every site needs every capability, so the consultation picks the three or four that move your operations.

Object and people detection People, vehicles, packages, weapons, classified in real time. Modern detectors run on the edge inside a recorder or the camera itself, so events show up in seconds, not minutes after a guard scrolls back.
License plate recognition Capture, OCR, and match plates against allow and deny lists. Useful at gates, dock yards, fleet entry, and stolen-vehicle alerts. Camera-agnostic overlays handle older fleets that lack native LPR.
Behavior analytics Loitering, line crossing, tailgating, slip-and-fall, fight detection, forklift proximity. Tuned per zone and per shift, and able to run on existing cameras without replacing anything.
Anomaly detection Patterns the model hasn't seen in this zone at this hour: after-hours dock activity, overnight perimeter walks, unusual server-room access. Useful where the threat doesn't fit a pre-built rule.
Occupancy and people counting Headcount, dwell time, density. Common asks: retail conversion math, hotel lobby flow, manufacturing-floor zone time, classroom occupancy, evacuation accountability.
Intelligent video search Find a person, vehicle, or behavior across hours of footage in seconds, instead of scrubbing through it frame by frame.

§02  No rip-and-replace

How "no rip-and-replace" actually works.

A camera by itself records video. AI analytics turn that video into structured events: a person crossed a line, a forklift entered a pedestrian zone, a plate matched the deny list, a fall happened on aisle 12 at 3:42 AM. The events show up where you already work: your VMS, a Slack alert, an access-control reaction, a monitoring agent's queue.

Most cameras built in the last seven years support ONVIF Profile S or T for video streaming, direct RTSP output, or an open vendor API. Camera-agnostic overlays consume those streams, run inference on a separate server or in the cloud, and never touch the cameras themselves. The threshold is roughly 1080p at 15 fps.

Where the cameras are too old (analog, sub-720p, sub-10 fps), we phase upgrades across the contract instead of replacing day one. Pilot zone first, then expansion. The point is to extract more value from what you already paid for, not to start a five-year capital refresh cycle.

§03  Multi-vendor

The platforms Tec-Tel deploys.

Tec-Tel is camera-agnostic. We pick the platform that fits your existing fleet, your operational picture, and your compliance posture. There is no house analytics product to push.

  • Camera-agnostic overlays read existing feeds over ONVIF or RTSP and run inference on a separate server. They work on five-to-seven-year-old fleets with no hardware change, priced per camera per month so you scope spend to the cameras that need analytics.
  • Camera-tied platforms ship analytics on their own cameras. Best fit for new installs or a planned fleet refresh, where the cloud management is part of the appeal.
  • Open VMS analytics packs layer onto an existing VMS without replacing it, when the customer wants to keep the current management system in place.

§04  The Tec-Tel position

No house brand. Multi-vendor across the lifecycle.

Most AI-security pitches you will get this year come from a vendor selling its own analytics product on its own cameras under its own license. That is a fine pitch when the fit is right, and it is not always. A 15-year multi-site customer doesn't want to be the lab rat for one platform's product roadmap.

Tec-Tel picks the camera-agnostic overlay or the camera-tied platform that fits your fleet, your compliance regime, and your portability requirement. Open platforms let you switch the analytics layer later without changing cameras. We design for portability whenever the buyer flags it, which most multi-site operators do.

§05  Cost framing

What adding AI realistically costs.

Vision Intelligence is almost always a per-camera or per-channel licensing line on top of any hardware spend. The size of that line scales with the tier of model and the number of detections you license, not with a fixed percentage.

Camera-agnostic overlays price per camera per month, which scopes the spend to the cameras that need analytics rather than the whole fleet. That's the difference between a large AI capex and a modest monthly per-site bill that scales as you add value. Tec-Tel itemizes the analytics line on every proposal, so the AI cost is never buried inside a hardware bundle.

Questions buyers ask us

FAQ

What does Vision Intelligence add to cameras we already have?
Real ML detection and classification running on the existing camera feeds: people, vehicles, behaviors, anomalies. The cameras stay in place. The analytics layer reads frames over RTSP or a vendor API, runs inference on the edge or on a server, and pushes structured events into your VMS, alert channel, or access-control reaction. Older fleets work as long as resolution and framerate clear the basic threshold described above.
Do we have to replace our cameras?
Often no. Camera-agnostic overlay platforms run on existing fleets including five-to-seven-year-old systems. Vendor-tied analytics require their own cameras. Tec-Tel audits what you own and recommends replacement only where the existing hardware cannot carry the analytics you need. Phased upgrades across the contract are normal: keep what works, replace what does not.
How does the no-rip-and-replace pitch work technically?
Camera-agnostic platforms read existing feeds via ONVIF Profile S/T or direct RTSP, then run inference on a separate server or in the cloud. Vendor-specific platforms read via the vendor open API or the camera analytics chip if compatible. As long as your cameras output a usable stream and your VMS allows the integration, the analytics layer mounts on top without touching the cameras.
Will this lock us into a single AI vendor long-term?
Not unless you choose to be. Cloud-native platforms tie analytics to their cameras, so a switch is closer to rip-and-replace. Open platforms and camera-agnostic overlays let you switch the analytics layer without changing cameras. Tec-Tel designs for portability when the buyer flags it, which most multi-site operators do.
What's the realistic accuracy?
Vendors quote single-digit false-positive rates for object detection in tuned environments, with behavior analytics running higher. Real-world numbers start higher than the spec sheet and drop as zones, masks, and confidence thresholds get tuned. Plan for a tuning window and a pilot zone before site-wide rollout. The manual video-review scrub collapses to a filtered queue once the system is tuned.
What about employee monitoring law and BIPA?
Cameras can capture employee activity, but legal limits vary by state. Illinois BIPA requires written informed consent before collecting biometric identifiers like face geometry. Connecticut, Delaware, and New York have employer notice requirements. We default to badge or PIN credentials over biometrics unless the customer has a documented, consent-based program.
How much does adding AI typically cost?
AI analytics is a software line on top of fully-installed-camera cost, scaling with the tier of model and the number of detections licensed. Camera-agnostic overlays are priced per camera per month, which lets you scope the spend to the cameras that need analytics rather than the whole fleet. We itemize the analytics line on every proposal.
Which capabilities should we start with?
Not every site needs every capability. The free consultation picks three or four detections that change the operational picture for your environment (often PPE or restricted-zone, proximity, and intelligent search), proves them in a pilot zone, then expands once supervisors are actioning what they get.

Book a walkthrough

Want a read on your existing cameras?

The free consultation walks what's installed, what AI analytics would make a measurable difference on your incidents, and which platform fits your compliance posture and budget.

  • Tell us how many sites you run and what's already in place. We'll show you what a build or upgrade looks like.
  • Straight answers from the team that does the work. We're platform-agnostic, so you get the system that fits your sites, not one brand's catalog.

Since 2010 · 1,000+ deployments nationwide · ISN-accredited

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