AI & analytics hub · 10 capabilities
The intelligence layer, installed on the cameras you already own.
Tec-Tel is a nationwide security integrator that installs the intelligence layer on the cameras and access systems you already own. That layer reads what is in the frame: search hours of footage in plain language, flag weapons, missing PPE, intrusion, license plates, after-hours activity, and slip-and-fall, and verify identity at the door. It is camera-agnostic, built on best-of-breed platforms, designed, installed, and tuned by one team. No rip-and-replace.
§00 What this is
We pick, install, and tune the analytics. No single vendor's black box.
A camera records video. The intelligence layer reads what is in the frame and turns it into something you can act on: 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. Those events show up where you already work, in your video management system, in an alert channel, in an access-control reaction.
The layer is camera-agnostic. Most cameras built in the last seven years stream over ONVIF or RTSP, so the analytics run on the fleet you already paid for. No rip-and-replace, no five-year refresh to get started. We design it, install it, and tune the confidence thresholds zone by zone until the alerts are worth acting on.
The advantage of an integrator is that the analytics are not our house brand. We choose the platform that fits your sites, your compliance posture, and your portability requirement, then keep it accountable to one team. The capabilities below are the ones operators ask for most. Most sites need three or four, not all of them.
§01 See what is in the footage
See what is in the footage.
The analytics layer turns recorded video into structured events and a searchable record, on the cameras you already run.
Vision Intelligence
The analytics overlay installed on your existing camera fleet. People, vehicle, behavior, and anomaly detection, scene understanding, and events routed where your team already works. No rip-and-replace.
Best for: operators who want detection on the cameras they already own.
Read on Plain-language searchFootage Search
Find a person, a vehicle, or a behavior across hours of recording in plain language, in seconds, instead of scrubbing the timeline frame by frame. Investigation, audit, and training in a fraction of the time.
Best for: loss prevention, audit, and safety teams buried in footage.
Read on The software layerAI Software & Analytics
The product category underneath every capability on this page: edge versus cloud inference, built-in versus camera-agnostic overlays, per-camera licensing, and the tuning window that gets false positives under control.
Best for: buyers comparing how the analytics layer is built and priced.
Read on§02 Detection that earns its alerts
Detection that earns its alerts.
Trained models flag a specific event and route it to the right person, tuned per zone and per shift so the system is not a false-alarm machine.
Weapons Detection
Visible-weapon detection at entrances, with a trained human verifying every alert before it reaches staff or dispatch. Honest about what it catches and what it does not, and grant-fundable for schools and public buildings.
Best for: schools and public buildings that need verified, not noisy, alerts.
Read on Workplace safetyPPE & Forklift Safety
Custom computer vision that flags missing PPE and forklift-pedestrian conflicts on the floor cameras you already run. A leading indicator for EHS teams, not just evidence after the recordable.
Best for: warehouse and plant EHS teams chasing leading indicators.
Read on Slip-and-fallFall Detection
Surfaces a fall to staff within seconds, on the common-area cameras you already own. Privacy-bounded to hallways and shared spaces, never inside resident rooms. Closes the gap between a fall and the response.
Best for: senior living and skilled nursing closing fall-response time.
Read on LPRLicense Plate Recognition
Plate capture, OCR, and matching against allow or deny lists for gate access, parking, dealer inventory, and watch lists. Camera-agnostic overlays handle older fleets that lack native LPR. NDAA-compliant.
Best for: yards, dealerships, gated sites, and parking operations.
Read on§03 Identity and access
Identity and access.
When the question is who, not what. Identity at the door, designed around the biometric law that applies in your states.
Facial Recognition & ID
Face and ID verification for access, visitor management, and watchlist alerts, designed around BIPA, state-by-state biometric law, and documented consent. We flag the compliance posture before any camera ships.
Best for: access-controlled and visitor-heavy sites with compliance duties.
Read on Access controlBiometric & Mobile Credentials
Identity at the door: mobile credentials as the default, biometric readers only where state law allows, wired so an analytics event can drive a door reaction. The credential on the phone in your pocket, on platforms you can switch later.
Best for: multi-site operators standardizing access across the portfolio.
Read on Custom computer visionRetail Shrink Detection
Custom computer vision for the shrink an off-the-shelf VMS never flags: POS-exception pairing, sweethearting, self-checkout loss, and concealment, on the cameras you already own.
Best for: retail LP teams losing to misrings and self-checkout.
Read on§04 Platforms we install
Best-of-breed, not one black box.
We install and tune analytics across the leading platforms and pick the one that fits each site. Some run as a camera-agnostic overlay on your existing fleet. Some ship on AI-native cameras for new installs. Privacy-first where it counts: Tenyks reports anonymized site metrics with no facial recognition.
Comparing platforms? Start with the vendor comparison matrix or the full vendor guides.
Anonymized site metrics. No facial recognition.
Video intelligence across multi-site fleets.
Plain-language footage search and alerts.
Scene understanding on existing cameras.
EHS and workplace-safety vision.
Edge detection, cloud attribute search, on existing or new cameras.
Common questions about AI analytics
What buyers ask about the intelligence layer.
- Does this work on my existing cameras?
- Almost always. The analytics layer is camera-agnostic. It reads the streams most cameras built in the last seven years already output over ONVIF or RTSP, runs inference on a separate server or in the cloud, and never touches the cameras themselves. The rough threshold is 1080p at 15 fps. For older analog or sub-720p fleets we phase upgrades across the contract instead of replacing everything day one.
- Is this one AI product or several?
- Several, and that is the point. We are an integrator, not a single-platform vendor. We install and tune analytics across best-of-breed platforms, including Tenyks, Dragonfruit, Spot AI, Coram, Intenseye, and Turing, and choose the one that fits each site. Some run as a camera-agnostic overlay on your existing fleet. Some ship on AI-native cameras for new installs. One team stays accountable for all of it.
- How do you keep the alerts from being noise?
- Tuning. After install we set confidence thresholds zone by zone, because lighting, camera angle, and shift patterns all move the false-positive number. Detections like weapons go through human verification before they reach staff or dispatch. The goal is alerts worth acting on, not a stream of false positives that trains your team to ignore the system.
- What about privacy and facial recognition?
- It depends on the capability. Anonymized analytics, like Tenyks, report site metrics with no facial recognition at all. Where identity verification is the actual requirement, we design facial recognition and biometric access around BIPA and state-by-state biometric law, with documented consent, and flag the compliance posture before any camera ships.
- Edge or cloud inference?
- Both, chosen per use case. Edge inference runs inside the camera or recorder, so time-critical alerts like weapons or intrusion fire in seconds with no server round trip. Cloud inference suits search, longer-horizon analytics, and multi-site rollups. We scope which detections run where during design, against your bandwidth, latency, and NDAA posture.
- Is the hardware NDAA-compliant?
- We design to your compliance requirement. For schools, government, and federally funded sites we scope NDAA Section 889-compliant cameras and platforms, and document the posture in the proposal. See the NDAA Section 889 camera compliance guide for the detail.
Talk to our team
Tell us what you want to see, and on which cameras.
Book a free consultation. We will walk through your sites, the cameras and access you already run, and the events you actually need to catch, then scope the analytics layer that fits. No rip-and-replace assumed.
- 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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What you're looking for, plus any details. We review it and follow up, usually the same day.