Computer Vision


We can solve most problems in our daily lives with the analysis of images and smart assumptions, but some scenarios require more than that. The use of robots in industrial production is not a new phenomenon. Thanks to developing technology and expanding possibilities of connectivity, central management had already begun. It is now possible to unite different solutions by collectively processing and sharing information. Let's take a closer look at solutions such as fruit and vegetable sorting systems 1, robots collating electronic cards 2, virtual reality applications 3, counting people in places 4 and automatically fixing blurry images 5.

1 Fruit and Vegetable Sorting Systems

Navigation and map applications generally use images taken from satellites, private imaging planes and ground level vehicles. Images from different angles, combined with details such as building heights and road slopes, add depth to the two-dimensional visuals for a more realistic positioning.


2 Robotic Arms

There are dozens, sometimes hundreds of items on a simple electronic circuit. These pieces are getting smaller and smaller each day and it is becoming impossible for people to arrange them annually. Machines, which have pre-installed circuit diagrams, can not only place hundreds of parts in their correct place, but also detect and correct their own faults. By being able to change the retrieval and collation order, some devices can optimize themselves.


3 Virtual Reality Applications

Be it virtual or augmented or hyper reality, we will soon find it difficult to distinguish what is real and what is added by the computer. In the near future, smart glasses will soon enter our lives in many different areas. For example, specially developed technical applications have started to offer technicians and even ordinary people the ability to repair even a device they are not familiar with. With visuals and animations, virtual glasses give exact commands to repair the specific parts of the damaged device. Or when you enter the supermarket, you put on the glasses and start shopping as if you were in a play.


4 How Many People?

Supported by computer vision, there are different solutions to count the number of people in a closed space. Camera images are used in many situations ranging from determining the number of people for optimizing lighting in offices or large shared spaces to identifying the number of people to be evacuated during an emergency. Some similar applications are, measuring occupancy rate of movie theaters, calculating duration of store visits and analyzing which isles and shelves in the store are visited.


5 Automatic Correction of Blurred Images

Computer vision is also used in archeology. Radars that use laser pulses when taking measurements reveal details and relationships that cannot be noticed by the eye. Computer vision has been successful in detecting hidden chambers in massive buildings such as pyramids or identifying buildings and connecting roads that have been concealed as a result of harsh natural conditions. In particular, it emerges as a tool to identify time-scattered life layers of different civilizations and help interpret findings more accurately.