1、The Future of Computer VisionEmerging Technologies and Use Cases Shaping Tomorrows ApplicationsOverview.2Computer Vision:State Of Play.3Data,Software,and Hardware Convergence Drive Breakthrough Performance.4 Data Is Now Richer and More Ubiquitous.4 Software Gets More Intelligent.5 Faster,More Effici

2、ent Hardware.6Looking at the Future.7 The Edge Paradigm.7 Multimodal AI Grows AI Adoption.8 Generative AI Takes Shape.8 Bringing Virtual Reality to Life.9Building a Computer Vision Technology Platform.11 Platform Components.11Table of ContentsCopyright 2025 Booz Allen Hamilton Inc.1materialmaterialz

3、one 3OverviewComputer vision is easy to take for granted,given how reliable and adaptive it has become.Travel down the highway,and your toll payment account is correctly debited thanks to a computer vision tool that classifies vehicles by size and type.But this day-to-day ubiquity can make it more d

4、ifficult to recognize the transformative power of this type of artificial intelligence(AI).Computer vision is unique and valuable largely because it enables computers to see and experience the world in much the way humans do.As we will explore in this report,recent technology advances are ushering i

5、n an era of enhanced performance and insighta potential golden age for computer visionfor enterprises prepared to seize the moment.Computer vision leverages machines to find,decipher,and extract meaning from representations of the rich visual and other electromagnetic information present in the worl

6、d around us.It is an area of AI that has already demonstrated significant impact while holding potential for new innovations.The“advanced seeing”embodied through computer vision uses machine learning(ML)algorithms and neural networks to recognize and process data rapidly and in large volumes,enablin