Global Image Recognition Market Research Report- Global Forecast 2030

Image Recognition Market Information, by Technology (2D, 3D, Sensors), by Product (Touch Based Gesture Recognition, Touch-Less Gesture Recognition), by Applications (Entertainment, Consumer Electronics, Healthcare, Hospitality, Retail) - Forecast 2020-2030

ID: MRFR/ICT/0807-HCR | August 2022 | Region: Global | 110 pages

Impact of COVID-19 on the Global Image Recognition Market

Image recognition helps in the detection and identification of objects or features in digital videos and images. Technological advancements have provided researchers with intelligent technologies such as artificial intelligence, enabling them to fight the COVID-19 pandemic. With the spread of COVID-19, the healthcare sector is focused on controlling the number of active cases and developing a cure. Technology and science are playing a crucial role during the current crisis. Initially, when the virus broke out in Wuhan, China initiated a strategy to utilize artificial intelligence (AI) to combat the spread of the disease, which was achieved by using facial recognition cameras for tracking the travel history of the infected, drones to sterilize public places and image processing of the patients’ x-ray reports for better understanding. According to a recent survey by medical associations, patient health data collected using radiology imaging techniques exhibits that images have the potential to provide salient information about the novel coronavirus. These findings favor the adoption of image recognition techniques in various industry verticals.

Advanced artificial intelligence techniques such as image recognition and neural networks, in conjunction with radiological imaging, are capable of accurately detecting COVID-19. Also, they can help in dealing with the lack of experts/doctors in inaccessible areas. Technologies based on machine learning are playing a crucial role since the outbreak of the COVID-19 pandemic. Machine learning algorithms are being used to study the virus, diagnose individuals, develop possible treatments, and analyze the impact on public health. Further, the implementation of deep learning for improving the speed and accuracy in the analysis of diagnostic imaging is promoting new growth opportunities. For instance, emerging players are using a technology, which involves neural network models for performing image segmentation, image reconstruction, and automated reporting of suggestions through image processing. As per the MRF analysis, the global image recognition market is estimated to grow at a significant rate over the forecast period.