The Future of Computer Vision

Computer vision is rapidly evolving, revolutionizing the way we approach security and video analytics. With advancements in AI, machine learning, and cloud computing, surveillance systems are becoming more intelligent, efficient, and scalable than ever before. These technologies enable real-time threat detection, automated monitoring, and enhanced video analysis, reducing reliance on manual oversight while increasing accuracy and effectiveness.

However, as computer vision advances, new challenges emerge—ranging from the high costs of GPU processing to the complexities of persistent object detection and real-time data interpretation. How can businesses and security professionals leverage these innovations while addressing the technical and financial hurdles?

In this webinar, we’ll explore the latest breakthroughs, the obstacles that remain, and the opportunities shaping the future of computer vision. Whether you're a property manager, security expert, or technology enthusiast, this session will provide valuable insights into the next generation of AI-powered surveillance and analytics.

Join our expert panel as they discuss:
- The history and evolution of computer vision
- Challenges in GPU usage, costs, and persistent detection
- How AI and cloud computing are revolutionizing video processing
- The future of computer vision and its impact on security