AI video analytics — Tashkent

Camera automation with AI

AI video analytics analyses camera footage in real time to count people, log attendance by face, check helmets and workwear, and read number plates. We first audit camera model, image clarity, angle, lighting and stream support. If footage is too blurry for the task, adjustment, an additional camera or replacement may be needed. Alerts go to Telegram or a dashboard; processing runs on-premise or in the cloud.

IT Park resident • Camera audit before connection • Payment: 30% upfront

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

What can AI video analytics do?

After checking camera suitability, we configure AI for tasks such as people counting and number-plate recognition — 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.

Camera audit comes first

We check RTSP/ONVIF support as well as image clarity, angle and lighting. If a camera suits the task, we connect AI to its existing stream. Poor image quality may require adjustment, an additional camera or replacement.

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. The camera audit determines what is suitable; some locations may need an additional or replacement camera.

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?

One-time setup starts from $990. After that you run the AI yourself — you pay for your own hosting and usage. The exact price depends on the number of cameras and tasks.

Number of cameras

from $990

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.

From $990 (one-time setup) — a single connection fee to link AI to your existing cameras, not a subscription. After setup you run the AI yourself: you pay for your own hosting and usage (API/server). The exact price depends on the number of cameras and the complexity of the task (people counting, face recognition or ANPR) — we confirm it in a written proposal after a free consultation and camera audit.
It depends on the camera and the task. During the audit we check the model, RTSP/ONVIF stream, image clarity, angle and lighting first. Blurry footage may prevent reliable recognition; we may recommend adjusting or replacing a camera, or adding one with a suitable view. Compatible cameras can usually be connected while keeping the existing recorder.
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.
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 (helmet) control and number-plate recognition, with instant Telegram alerts. Come in for a free consultation to discuss your project: 10 Amir Temur Avenue, Tashkent.
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.

Free 30-minute consultation — no commitmentSupport: UZ / RU / ENPOS, CRM and Telegram integrations