Game consoles can “see.” Computer vision is changing the world of entertainment and games. Face, expression, gesture and facial recognition bring extraordinary experiences in applications interacting with the user. Computer vision, combined with augmented reality, creates magic.
AR VR SensorsTraining instruments can “see.” Applications supported by computer vision have an important role in the future of education. Combined with augmented reality, it is possible to transform the curriculum into interaction and gamification.
AR VRMedical devices can “see.” Imaging solutions such as X-rays, MRIs or tomography, have an important role in health. With computer vision, traditional solutions are becoming even more capable and robotic assisted surgeries are becoming possible.
Robotics MedicalThe streets can “see.” Security services are reshaped with the combination of camera technologies and computer vision. There are many solutions ranging from detecting suspicious behavior in public places with motion recognition, to using face recognition for personal password / security.
Camera IoTPOS machines can “see.” Credit cards or transportation cards where plastic cards with chips are widely used are becoming history.Are you ready to use your face or your gaze as a credit card?
Payment SystemsDrones can “see.” The rules of agriculture are being rewritten on issues such as productivity, irrigation, insecticide, pest control and crop tracking. Scanning and analyzing hundreds of acres of land is possible via computer vision.
Drone IoTMachines can “see.“ One of the most important players of the Industrial revolution 4.0 is artificial intelligence… When computer vision, internet of things, sensors, robotics, cloud and big data join as one, a new era begins.
Industry 4.0Product shelves can “see.” Capabilities such as product, object or shelf recognition enable outstanding solutions such as Amazon Go. Computer vision also plays an important role in tracking in-store traffic, queue management and cashier-less payment.
IoT RoboticsCars can “see.” Traffic lights, barriers can “see.” Undoubtedly, one of the most widely used areas of computer vision is traffic. There is a wide range of solutions ranging from license plate recognition to driverless vehicles.
IoT e-Mobility SensorsSpacecrafts can “see.” Computer vision technologies are used in many areas such as vehicles travelling on the surface of Mars or photographing the black hole. 29-year-old Katherine Bouman, the creator of the algorithm that photographed the black hole, has a PhD in computer vision.
Robotics