AI video analytics — Tashkent

Make your existing cameras smart with AI

AI video analytics is artificial intelligence that analyses your camera feed in real time: it counts people, marks attendance by face, checks helmets and workwear, and reads vehicle number plates. No new hardware to buy — we connect to your existing IP cameras, turn what they see into events, and send an instant alert to Telegram or a dashboard. Runs on-premise (on your server) or in the cloud.

IT Park resident • Works with existing cameras • Payment: 30% upfront

Updated: July 23, 2026

AI video analytics — automating cameras with AI, a security operations room
Capabilities

What can AI video analytics do?

One AI layer teaches your existing cameras several jobs — from counting people to reading number plates. All in real time, without an operator staring at a screen.

People detection & counting

Counts people in and out automatically: store footfall, queue length, room occupancy and peak hours. Precise numbers for marketing and staff planning.

Attendance by face recognition

Recognises a staff member or guest and logs entry and exit automatically — no turnstile. Attendance log, access control, blacklist and VIP-customer alerts.

Workplace safety control

On factories and construction sites it spots workers without a helmet, vest or workwear; detects entry into a danger zone (machine, crane) and alerts instantly. Accident prevention.

Number-plate recognition (ANPR)

Reads a vehicle's plate and logs it to a database: parking and access automation, opening the barrier for an allowed car, separating guest and company transport.

Works with existing cameras

No need to buy new cameras or special hardware. We connect to your IP cameras over RTSP/ONVIF — the AI layer is added on top of your existing CCTV.

Real-time alerts

When an event happens — a worker without a helmet, an unknown face, a car without access — an alert reaches Telegram, a dashboard or the security desk within seconds, with a screenshot and timestamp. The recording stays in the archive.

REAL EXAMPLES

What it looks like on an AI camera

This is how your existing cameras work with AI.

Face-recognition attendance — AI recognises an employee at an office turnstile
Face-recognition attendance
Workplace safety — AI checks helmet and hi-vis vest on a construction site
Workplace safety — PPE control
License-plate recognition (ANPR) — AI reads a car's plate at a gate barrier
License-plate recognition (ANPR)
Technology

What technology we build on?

A modern computer-vision layer on top of your existing CCTV — in your network or in the cloud.

Computer-vision models

Detection and tracking models isolate people, vehicles and equipment in the frame. Accuracy per use case is tuned to your cameras' angle and lighting.

Face recognition & ANPR/OCR

Identity matching via face embeddings and OCR to read the plate. The database is built from your list of staff, customers or allowed vehicles.

RTSP / ONVIF connectivity

The standard IP-camera protocols. We connect directly to Hikvision, Dahua and other cameras that provide an RTSP stream — the NVR stays in place.

On-premise or cloud

If privacy matters, all analysis runs on your internal server (GPU) and video never leaves the premises. For lighter cases, cloud processing is cheaper.

Alerts & integration

We pass events to your systems via a Telegram bot, dashboard and webhooks — into a CRM, an attendance system or the security desk. Every event is archived with a timestamp.

Dashboard & reports

Charts and reports on people flow, attendance, violations and vehicle entry. In daily, weekly or hourly views — numbers ready for decisions.

How we work

4 steps to a smart camera

First 30 minutes are free. Then every step comes with a written proposal, a clear price (after the spec) and a clear timeline.

01

Camera audit

We check your cameras: model, placement, angle, lighting and RTSP/ONVIF support. We determine which task realistically works from which camera.

02

Connect the AI models

We connect the models for your use case: people counting, face recognition, helmet control or ANPR. The database (staff, allowed vehicles) is built from your data.

03

Configure alerts & dashboard

We define which event alerts whom — Telegram, dashboard or security desk. We set up reports and charts and reduce false alarms.

04

Launch + support

We take the system live, train your team and monitor accuracy. When a new camera or task appears, we extend the system.

Scenarios & real examples

Which business gets which benefit?

How the four core use cases work across industries. Each example is added on top of existing cameras — no new hardware required.

01

Retail & shopping malls

Counts visitors coming in, shows peak hours and the queue at the till. You learn marketing effectiveness (conversion) and how many staff a shift needs — in hard numbers.

02

Factory & construction site

Spots workers without a helmet or vest and entries into danger zones in real time, alerting the foreman or safety team instantly. Violation log and accident prevention.

03

Office & business centre

Attendance and access control by face — no turnstile or access card. Who arrived when is logged automatically; an unknown face triggers a security alert.

04

Parking & restricted area

Reads the plate and opens the barrier automatically for an allowed car, separates guest transport and keeps an entry-exit log. The guard no longer records every car by hand.

05

Restaurants & services

Tracks room occupancy and queues to monitor service speed; recognises a VIP or returning customer's face and alerts the manager in advance.

06

Warehouse & logistics

Enforces safety rules in the loading zone, logs vehicle plates via ANPR and analyses people flow across the site.

Pricing

What does the price depend on?

AI video analytics has no single universal price — it depends on the number of cameras, the complexity of the task and the deployment (on-prem or cloud). We give an exact price in writing after the camera audit and spec.

Number of cameras

After the spec

How many cameras and points are analysed is the main factor. From one entrance camera to a whole factory perimeter; the project scales in stages.

Use-case complexity

After the spec

Simple people counting is one price; face recognition or ANPR with a database is another. Combining several tasks raises complexity and price.

On-premise or cloud

After the spec

If an internal GPU server is needed for privacy, hardware and setup are factored in. Cloud processing usually gives a cheaper start.

The exact price comes in a written proposal after the free consultation, camera audit and agreed spec. Payment: 30% upfront, the rest in stages, based on results. No hidden fees — everything is in the contract.

Frequently asked

Questions & answers

Common questions about AI video analytics.

There is no single fixed price — it depends on the number of cameras, the complexity of the task (people counting, face recognition or ANPR) and the deployment (internal server or cloud). So after a free consultation and camera audit we give a written price against the spec. Payment is 30% upfront, the rest in stages, based on results.
Yes — that's the whole idea of the service. There's no need to buy new cameras or special hardware. We connect directly to your IP cameras over RTSP/ONVIF (Hikvision, Dahua and others). The AI layer is added on top of your existing CCTV; the NVR stays in place.
Face recognition can be used on legal grounds: for staff attendance with their consent, and for security on your own premises. The key is protecting the data and using it only for the agreed purpose. We can build the system on your internal server (on-premise), so face data never leaves the premises. Specific legal details are agreed per project.
Usually not. If your existing cameras give the needed angle and quality, they are enough. Only at certain points (for example, the right angle for a number plate, or low light) might an extra camera be recommended. We say this openly during the camera audit, without pushing.
Both options exist. If privacy matters, all analysis runs on your internal server (on-premise) and video never leaves the premises. In lighter cases, cloud processing is cheaper. We decide together what fits you.
When an event happens — a worker without a helmet, an unknown face, a car without access, or a growing queue — an alert reaches Telegram, a dashboard or the security desk within seconds. The alert includes a screenshot, time and place; the recording is later found in the archive.
Yes. The system detects a worker without a helmet, vest or workwear and notices entry into a danger zone. On a violation, an alert goes to the foreman or safety team at once and is logged — this helps prevent accidents.
The exact timeline depends on the number of cameras and the use case. A pilot for a single task (for example, people counting at an entrance, or ANPR) usually launches within a few weeks. A broader project rolls out in stages. The exact timeline is firmly fixed in the written proposal.
Tezcode — an AI Software Factory in Tashkent and an official IT Park resident (certificate 6237) — makes your existing cameras smart with AI: people counting, attendance by face, workplace-safety control and number-plate recognition. Come in for a free consultation to discuss your project: 10 Amir Temur Avenue, Tashkent.
Time to start

Let your cameras do the work?

In a free 30-minute consultation we'll pinpoint which cameras deliver real value for which task. No obligations.

Message on Telegram

Or email tezcode@tezcode.dev — you reach Bekzod directly.

For business owners

Start with a free process audit

In 30 minutes we'll pinpoint where AI delivers the biggest impact for your business: sales, customers, reporting or operations.

14-day free trial — no card requiredSupport: UZ / RU / ENPOS, CRM and Telegram integrations