The year 2020 is around the corner and technology is rapidly growing in many sectors, including biometrics. Facial recognition is helping to fight identity theft. That is not all! While facial recognition technology has a history in the security sector, it is expanding in other sectors, such as retail and health.
In 2022, the global market for facial recognition technology will generate an estimated revenue of $9.6 billion, with an annual growth rate of 21.3%.
This technology, combined with artificial intelligence, brings features that can impact the market.
Occasionally, facial recognition technology may not be able to distinguish a human face from a photograph. As a result, Trueface.AI is using artificial intelligence to distinguish a photo of a face. Some banks and health centers are already using the Trueface.AI technology.
In Brazil, two people were arrested in Rio De Janeiro.
The military police arrested a woman at one of the Maracana stadium’s entrances. They discovered there was a “search and seizure” warrant for her arrest.
The second case happened near the statue of Bellini when a man was recognized by cameras. He was also arrested by the military police after they discovered a warrant for his arrest.
The third case occurred in Copacabana with the arrest of a woman near a lifeguard station. When the woman passed by the recognition cameras, the system was activated and mobilized the nearest police officers for her arrest.
Blue Tree Hotels recently announced the implementation of a web check-in system in their units. With big data and facial recognition, the tool decreases up to 85% of the guest admission time in hotel receptions.
“Technology is an extremely important tool for the development of practices that improve the guest experience at our hotels.
Among the numerous benefits … of the web check-in system, we highlight the ease, tranquility, and agility provided by the resource [that] … strengthens our hospitality purpose, ” said Chieko Aoki, president of network Blue Tree Hotels.
The FaceDeals application targets customers with special offers from companies that are familiar to them.
At companies, there are facial recognition cameras at the entrance, which recognize customers upon entering the building. Simultaneously, the customer receives a notification of an offer on their smartphone based on their Facebook history.
Doctors prescribe medicine, but some patients are not taking it. Usually, it is not due to their unwillingness, but they forget to take it regularly. Medication non-adherence occurs when a patient stops taking their medicine. This is a major challenge since it affects 50% of U.S. patients.
AiCure is a company that uses facial recognition and computer vision technology to improve medication adherence practices. Mobile devices can access the application to identify the patient, their prescribed medicine, and visually confirming the ingestion of the medicine by the patient.
In conclusion, corporate implementation will increase over time as companies expand research efforts to prove the effectiveness of facial recognition.