Learn how Computer Vision can help your business
From smartphones that we use on a daily basis to medical machines and instruments, from industrial equipment to self-driving cars, computer vision is one of the technologies that most surround us today and, precisely for this reason, it is one of the most researched areas of Artificial Intelligence.
The term generally refers to the processing of real-world images by means of a computer; in practice, what computer vision does is teach computers and devices to recognize images and detect movements, artificially replicating human vision. From there, the information is processed by a system, which will decide how the computer or device should act next.
“One of the most common examples of computer vision is in our smartphones”, explains Luan Florêncio, hardware leader at Lieno Tecnologia. “They use different mechanisms: from recognizing users' faces in a selfie or to unlocking the device, or even recognizing the smile to take a picture”, he says.
In addition to the devices we use on a daily basis, computer vision is present in security systems, for the release of users at the entrance of an establishment, for example; in agronomy, for irrigation of crops and product quality inspection; in industry, for invasive material checking, machine collision avoidance, and machinery inspection; in logistics, to manage fleets;
In terms of security, the Lieno Technology developed a system for accounting for people entering and leaving an environment, through motion detection and recognition. But one of the most important applications developed by the company is the recognition of vehicle license plates for fleet management and security.
“With this system, it is possible to obtain the information associated with the vehicle in an automated way, using private databases or public transit institutions as a basis”, says Luan. “One possible application, for example, is in the city's traffic camera system: the system will automatically recognize, by reading the license plates, stolen vehicles or vehicles that are pending before the inspection bodies”, he elaborates. The system can also be used by insurance companies, for example.
According to Luan, with the expansion of the use of this technology, it will be possible to have cities with completely autonomous traffic, based on unmanned vehicles that recognize the path and obstacles on their own.
“Research shows that, in the coming years, we will see increasingly intelligent machines capable of 'seeing' what is around them. Associated with other elements of artificial intelligence, such as neural networks, it is possible to further improve the accuracy of computer vision in order to obtain more accurate data and make processes even more efficient to benefit various types of business”, he concludes.
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