OCAS Vision

OCAS Vision
OCAS VISION is a software composite developed using OCAS neural network software which is designed to recognise objects or events on video recordings or photographs. OCAS Vision is solely intended for use in processing images from video surveillance cameras. Thanks to a core structure built on the latest of neural network technologies, the software and hardware composite are perfectly manufactured to detect and recognize particular objects in a given image, regardless of lighting (including infrared illumination), image resolution or frame rate.

1) Object classifications: People, cars, types of materials, inanimate objects, defects, animals, buildings and structures, etc.
2) Individual characteristics within each object classification: Facial features, specific vehicles, specific places, etc.
3) Events: Elements of the production process and accidents. OCAS VISION can also focus on any specific objects that it is programmed to seek out.

The OCAS VISION software package consists of several modules that provide:
- Object detection and tracking;
- Object recognition;
- Object quantity and analysis.

One of the keys to modern day banking is being able to recognise a customer in order to personalise and enhance their banking experience. Facial recognition technology strategically placed has the ability to alert staff to the arrival of a VIP client before or immediately upon their arrival, allowing the opportunity to maximize the client's experience during their visit.

This visual recognition technology also allows banks to fully monitor and control planned events, the quality of service provided and perhaps most importantly security. A bank can control the perimeter right the way to the cashier's desk with minimal effort and maximum efficiency.


Through the use of OCAS Vision a company can observe and control everything from the production line to the quality of the end product. It even allows for an ease of facility upkeep and the analysis of consumed materials. OCAS Vision also allows for the immediate detection of workplace accidents or human error, meaning production is subject to as little disruption as is possible.

Construction and housing

For the construction industry, OCAS VISION holds not only the advantage of providing automated monitoring of works in progress and ensuring that said work is adhering to regulations, but also allowing for an increased sale price when the building goes to market. Once the building is complete OCAS Vision has the scope to provide perimeter security, automated entrance access for tenants, automated maintenance logs and general supervisory duties. One system that can do the work of numerous employees.


OCAS Vision can provide a huge variety of advantages in this sector: Control traffic flow and manage intersections, control the state of the roadway and transport infrastructure, recognize drivers and passengers, enhance safety on trains and planes and control foot traffic in metro and train stations. This is just a small sample size of what can be done, the list is almost endless.


Education is a field that is become more anonymous with each passing year. The further you climb up the ladder the relationship between student and teacher becomes more and more distant. Resultantly, it is becoming more difficult to pinpoint the strengths and weakness of a student's character and what exactly it is they must do to achieve their target. OCAS Vision can help.


X-rays, MRI and CT images are becoming increasingly vital in providing successful diagnoses. OCAS Vision can help to streamline and control these tools so that they may be correctly and effectively utilized.

State and Municipal bodies

OCAS VISION is the first and last step on the path to creating a smart city, a city that is as close to self-sufficiency as is even imaginable. Economic development, surveillance, maintenance, public safety, tourism and entertainment are just some of the areas that concern local authorities. OCAS Vision can provide piece of mind and allow those in charge to concentrate on the bigger picture instead of being distracted by minor but necessary details.

OCAS Vision uses Convolutional Neural Networks (CNN) to analyse visual imagery, which are based on the same basic working principles as the sight mechanism in living organisms. These principles first came to light in the work of Nobel laureates David Hubel and Torsten Wiesel, who discovered that nerve cells in the visual cortex respond to stimuli based on different angles of inclination (orientation). The first layers of convolutional networks are able to react to lines with a certain angle of inclination, while the subsequent layers respond to distinctive combinations of these initial lines. The more layers of neural network an image passes through, the more complex the object can be recognized by this network. At the end of the network there are filters (artificial neurons) that are activated when presented with certain facial feature markers, gender markers, age markers, animals, cars, streets or anything else which the neural network has learned to recognize in large collections of images (datasets).

OCAS VISION is a software package consisting of modules in which the exchange of information is facilitated by WebSockes technology.

The system includes the following components:

- external interfaces;
- data set modules;
- network training modules;
- data processing modules.

The system architecture is implemented on the basis of SOA- a software design where services are provided to the other components by application components, through a communication protocol over a network.

OSAS VISION operates on supercomputers and clusters based on graphics cards.

OCAS VISION is supplied as a computer program in accordance with a licensing agreement under basic (non-exclusive) licensing terms. Our specialists conduct a pre-sales system configuration in order to train the neural networks to operate while using the customer's images and graphics.

OCAS VISION can be installed on the customer's computers or operated remotely by the OCAS supercomputers.
Recognizing visitors and zoning the viewing space of the video cameras on the OCAS Vision Image Recognition System
Recognition of pedestrians and vehicles on the OCAS Vision Image Recognition System