104 cameras. 39 analytics channels. One smart facility.

How many video analytics channels does a large administrative building actually need to become smarter and safer? One of our recent projects, delivered together with a partner, shows that you don't have to connect analytics to every single camera — you just have to place it correctly where it's actually needed.

The facility has 104 CCTV cameras installed. Automating the key security scenarios required only 39 video analytics channels of five types, built on IncoreSoft VMS + VEZHA.

Analytics channel breakdown

Analytics type	Channels	Task
Face Recognition	17	People control
Smart VA	9	Territory and critical zone control
Object Detection	5	Object control
LPR	4	Vehicle control
Smoke & Fire Detection	4	Additional layer of safety
Total	39	—

What matters here isn't the amount of analytics — it's correct placement and a clear understanding of each camera's task.

Face Recognition — people control

17 face recognition channels operate at key points throughout the building. The system identifies employees and visitors, logs their appearances, works with watchlists, and quickly locates a specific person in events and archive footage. Instead of hours of video review, the security team gets a straight answer to a simple question: who was where, and when?

LPR — vehicle control

4 LPR channels monitor vehicle entry and exit points. The system automatically reads license plates, keeps a history of passages, works with white and black lists, and lets operators quickly find a specific vehicle. An entry camera becomes an automated vehicle control checkpoint.

Smart VA — territory and critical zone control

9 Smart VA channels cover the perimeter, service entrances, restricted-access areas, and critical passageways. The system automatically detects predefined scenarios and only draws the operator's attention to events that actually require a response — less continuous watching, more automated control.

Object Detection — object control

5 Object Detection channels are used in critical zones where it's important to automatically detect the appearance or presence of specific objects. This moves the process from passive video review to automatic monitoring of important events.

Smoke & Fire Detection — an added layer of safety

4 Smoke & Fire Detection channels help automatically identify visual signs of smoke or flame in critical rooms. When an event occurs, the operator immediately receives the information and video feed from the relevant camera.

Subscription instead of large upfront costs

The customer chose an annual video analytics subscription instead of purchasing perpetual On-Premise licenses. This made it possible to launch the entire required analytics set right away and significantly reduce the starting budget.

Licensing model	First-year starting cost
On-Premise (perpetual licenses)	100%
Subscription (annual)	\< 25%

As a result, the customer got all the needed functionality from day one, significantly lower upfront investment, the ability to validate analytics performance on a real facility, and the flexibility to scale the system further.

What this means for the customer

104 cameras don't need to become 104 separate analytics points. In this project, 39 analytics channels were enough to automate five key areas: people, vehicles, territory, objects, and potential threats.

This approach makes it possible to:

• deploy video analytics selectively — where it genuinely impacts security and operations;
• avoid overpaying for analytics on cameras where it adds no value;
• launch the project quickly, without large upfront investment, thanks to the subscription model;
• validate the solution's effectiveness on a real facility before scaling;
• bring video, analytics, events, and archive together in a single platform — IncoreSoft VMS + VEZHA.

Compare it with your facility

Check the current video surveillance setup at your facility:

• how many cameras are installed, and how many actually need analytics;
• which security scenarios are still handled manually, and which could be automated;
• which licensing model you're using — On-Premise or subscription;
• how much a project launch costs compared to a subscription model;
• whether video, analytics, and archive can be unified in a single platform.

Test IncoreSoft VMS + VEZHA on your facility

Give us your camera count, the types of security scenarios you need, and your current licensing model — we'll prepare an analytics channel configuration and show you the savings a subscription model would bring to your specific project.

FAQ

Do you need to connect video analytics to every camera?

No. In this project, only 39 out of 104 cameras were given video analytics. What matters most is correctly defining each camera's task and placing analytics exactly where it affects security.

What types of analytics were used in the project?

Five types: Face Recognition (17 channels) for people control, Smart VA (9 channels) for territory and critical zones, Object Detection (5 channels), LPR (4 channels) for vehicle control, and Smoke & Fire Detection (4 channels) for early detection of smoke and flame.

How is a subscription more cost-effective than On-Premise licenses?

In this project, the annual subscription cost came to under 25% of the price of purchasing an equivalent set of perpetual On-Premise licenses, making it possible to launch the full required functionality immediately, without large upfront investment.

Which platform was used in the project?

IncoreSoft VMS paired with VEZHA — a solution that unifies video, video analytics, events, and archive in a single platform.