The purpose of Computer Vision in the field of Law Enforcement enables officers with a powerful tool that helps detect, analyze and produce information that results in reduced response time, increased efficiency and will eventually lead to safer neighborhoods.
The current process to maintain road assets is a time-consuming, manual labor-intensive process, error-prone and costly.
Computer Vision will eliminate the limitations of the traditional survey process & deliver efficiency across the value chain. This will result in better response time to fix road asset issues, making roads and highways safer.
Computer Vision (CV), your everyday term for some of the most cutting-edge technologies, is set to turn into your second-in-command (and may eventually get to be the first). The term applies to any tech-innovation that can enable computers to see (visualize) and interpret digital content, such as, images and videos. The concept straddles between the ever-evolving fields of AI (artificial intelligence) and machine learning. Today, computer vision successfully dominates major global sectors, starting from healthcare and finance to emergency and automotive industries. In fact, it is the latter where this phenomenon appears to be leaving its most noticeable mark. With much progress having already been made, experts are looking to optimize the role of computer vision in assisting both drivers and road-safety projects in the near future.
The corporate sector is highly dynamic, constantly changing, and fiercely competitive. Savvy managers and leaders understand the need for continuous learning for reskilling and upskilling. This is important to drive organizational goals and maintain a competitive edge. While the cost of physical equipment and the associated risks for different industries remains a huge challenge, the benefits of virtual reality training in this aspect cannot be overstated.
According to Fortune Business Insights, the virtual reality in healthcare market is expected to reach $30 billion by 2026. Despite being in its early growth stages, this technology is seen as revolutionary by industry experts with impacts that could benefit businesses across different industries. VR technology is already catalyzing changes in different aspects of our healthcare systems. Our focus in this post, however, will revolve around how virtual reality hospital training is transforming medical education, among other things.
Crowd analysis as one of the core computer vision applications is based on the analysis and interpretation of data obtained from studying the movement of a crowd or a group. It is about collecting and aggregating insightful information about crowd mobility in places of mass gathering from airports to metro areas, train stations, etc.