Skip to content
UA Discuss your project

Your cameras can see more than just a picture

Video analytics and computer vision for plants, warehouses, gas stations, stores, public institutions and private homes. We train AI models for your task and run them on your own server, in your cloud or in our secure cloud.

How much you are losing right now

Pick your industry and replace the example with your own numbers. The formula is open and sits right under the result.

What the camera notices

Six areas, over a hundred events in the library. Click an event to see where it works.

People and workplace safety

We spot people in hazardous zones and near machinery. You set the zone, hours and rule right on the frame.

  • person in hazardous zone
  • person near machinery
  • crane zone
  • riding on pallet jacks
  • emergency exit
  • person falling

Hygiene and PPE

Hair caps, face masks, gloves and hand sanitizing in food production areas. Hard hats and hi-vis vests on construction sites and in warehouses.

  • no hair cap
  • no face mask
  • no gloves
  • skipped sanitizer dispenser
  • hard hats and hi-vis vests
  • workwear outside the zone
  • food in the production area

Vehicles and license plates

License plates at the vehicle entrance, truck time at the loading dock, queues at the scales or fuel dispenser. Every pass is recorded with a frame.

  • license plate
  • truck at the loading dock
  • truck dwell time
  • queue at the scales
  • dock door open
  • pallet jack with pallet
  • unknown car in the parking lot

Queues, visitors and retail

Checkout lines, visitors by hour, empty shelves and items not scanned at self-checkout.

  • queue
  • self-checkout
  • item not scanned
  • visitors by hour
  • empty shelf
  • TsNAP occupancy
  • visitor after closing

Processes and housekeeping

People by work area, line idle time, crates on the floor and kg per person-hour from your records.

  • crate on the floor
  • work area with no one there
  • line idle time
  • extra containers on the table
  • unattended knife
  • people by work area

Security and perimeter

A person near the fence at night, a missed security patrol, an open gate and a camera that stopped sending frames.

  • person near the fence at night
  • security patrol
  • smoking
  • abandoned object
  • movement after hours
  • crowd of people
  • camera went offline

An AI model for your task

If an event is visible on camera, we will train AI to spot exactly that. The model is built for your site, so it works in your conditions: your lighting, your workwear, your rules.

If the event isn't visible on your cameras, we tell you at the first consultation.

About this service

  1. 01
    A model built for your siteYour production areas, your lighting, your workwear and your rules.
  2. 02
    A new rule in a familiar panelEach event arrives as a card with a frame and a timestamp, you decide in one click, and everything goes into the log and reports.
  3. 03
    Results before full launchYou first see the model at work on your own cameras, and only then switch it on across the site.
  4. 04
    Grows with youWe add new events, zones and sites as your needs change.

What it gives your business

Cameras stop being an archive kept for incidents. They start producing numbers and evidence every day.

Know what happens on site even when you are not there

  • Events with a frametime, place and camera for each one
  • Site figurespeople, idle time, queues and vehicles for the period
  • Reports for the periodhow many events, where and when
  • Data under your controlon your server or in the cloud, you decide who has access
See the solution

Try it yourself

The camera proposes an event, and a person makes the decision. Review six events from different industries and see how your decisions add up to a precision figure.

Event queue01 / 06
smoking · 0.81
Cam. 03 · dispenser 221:14:06

Gas station

Smoking near a fuel dispenser

model confidence 0,81

Why it triggered
A small bright light source near the face, less than three meters from the dispenser.
What the frame shows
The driver holds a lit cigarette to his lips while the nozzle is in the tank.
item not scanned · 0.63
Cam. 07 · self-checkout11:32:48

Supermarket

Item not scanned

model confidence 0,63

Why it triggered
A hand moved an item from the basket to the bag, and no new line appeared on the receipt in that second.
What the frame shows
The shopper scanned the pack with the right hand and passed it to the left. The receipt line appeared a second earlier than the model expected.
person in vehicle zone · 0.86
Cam. 12 · loading dock 206:58:30

Warehouse and loading dock

Person in a vehicle operating zone

model confidence 0,86

Why it triggered
A person in a driving lane while an electric pallet truck moves nearby.
What the frame shows
A storekeeper stands in the driving lane while an electric pallet truck backs out of a truck, and he is looking the other way.
no hard hat · 0.58
Cam. 05 · crane zone14:05:12

Construction

No hard hat under the crane

model confidence 0,58

Why it triggered
No hard hat found on a person's head in the crane operating zone.
What the frame shows
The hard hat is there. A scaffolding beam covers its top, and the white brim shows beneath it.
window without operator · 0.77
Cam. 01 · reception hall10:20:44

TsNAP

Service window without an operator

model confidence 0,77

Why it triggered
Nobody at workstation No. 4 for over 10 minutes while there is a queue in the hall.
What the frame shows
The operator's seat has been empty for 12 minutes, the display shows the window as open, and four people are waiting.
no hair cap · 0.83
Cam. 11 · deboning07:18:52

Meat processing

No hair cap

model confidence 0,83

Why it triggered
No white head covering found on the head.
What the frame shows
Hair is uncovered on all sides, no hair cap. The worker stands at a deboning table.

Use the ← and → keys or swipe the card sideways.

What it looks like

Your site under watch: events with a frame, one-click decisions and people by zone throughout the shift.

Sanitary control in the production areaHygiene violations with a frame and a specialist’s decision in one clickDemo · 0:20
Headcount and productivityHow many people work in each zone throughout the dayDemo · 0:20

Where the analytics runs

We size the option for your site. In every option, you decide who has access to the footage.

  1. 01

    On your own server

    Analytics runs on site, inside your network. No internet connection is needed for it to work.

    When it fits. When video must not leave the premises or the connection is unstable.

  2. 02

    In your cloud

    Video is analyzed in your own cloud account. No on-site server is needed.

    When it fits. When you already run your own cloud infrastructure or have several sites.

  3. 03

    In our secure cloud

    Video is analyzed in our secure cloud. No on-site server is needed.

    When it fits. When you have several sites, few cameras and no server room on site.

In every option we encrypt communication channels and storage, grant role-based access to footage and set retention periods according to your policy. Security and privacy

How we work

From the first conversation to a system that runs every day. You can stop after any step.

  1. 01Consultation

    You tell us what you want to monitor. We tell you which of it a camera can actually see.

  2. 02Site and camera survey

    An engineer visits your site and looks at your cameras and goals in person.

  3. 03Estimate and proposal

    We calculate the cost, deployment option and timeline for your site.

  4. 04Pilot in one work area

    A test period on your own site. Your specialist works with the cards and sees the results first-hand.

  5. 05Launch

    We turn on the rules that proved their value and connect other work areas and cameras.

  6. 06Support

    We add rules, update zones and improve models when your site changes.

Each stage in detail

Questions before launch

Which industries is this for?

Any site where the event is visible on camera: plants, warehouses, gas stations, stores, public institutions, construction sites and private homes. We have proven experience in each of these industries: the same platform, every event with a frame, one-click decisions and an AI model trained for your site.

Do we need new cameras?

Usually not. We work with the cameras and NVRs you already have. If no camera covers a spot, we tell you during the survey.

Is processing done on site or in the cloud?

Whichever suits you. There are three options. A server on your site needs no internet connection to work. Analysis can also run in your own cloud account or in our secure cloud, with no on-site server. We calculate which option pays off after the survey.

Can you train a model for our task?

Yes, if the event is visible in the frame. Describe it in your own words, and we will train a model to spot exactly that on your cameras. You will see the result in the pilot, before full launch.

How accurate is it?

You see it for yourself. Every event arrives with a frame, your specialist confirms it in one click, and only confirmed events go into the log and reports. We turn rules on after they have proven themselves in the pilot.

What about personal data and the law?

Open video surveillance with signs and notice to people is standard practice. The system identifies people only where you have agreed to it, for example at the staff entrance with employees’ written consent. We recommend agreeing the processing procedure with a lawyer in line with the Law of Ukraine «Про захист персональних даних» (Law of Ukraine “On Personal Data Protection”).

How much does it cost and how long does launch take?

It depends on the number of cameras, rules, model training and the deployment option. We give you an estimate after the survey.

Let’s discuss your site

Request a consultation or a project estimate. We will tell you what your cameras can monitor, where it is best to process the video and how much it will cost.

Request a consultation