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Real-time federated analysis and computer vision can bring about significant improvements.
Education institutions can significantly improve by implementing computer vision and real-time federated analysis focusing on safety.
Computer vision is changing many industries, but it is still making inroads in dell education. This is not surprising considering the historically low budgets of many educational institutions. Colleges and universities will likely be the first to adopt the technology as it becomes mainstream in the business world.
Departments already have the infrastructure for computer vision, with a camera infrastructure in place at most campuses.
Scalable hyper-converged infrastructures are needed that combine storage, dell computing, and software. This allows institutions to analyze and capture video, audio, and other data at their edge for real-time insights. This approach of computer vision-powered analysis has a significant advantage: data can be ingested once and then analyzed and used in many ways. An all-in-one computer-vision system can be configured, right-sized, and validated to work with institutional applications. This eliminates the risk of adopting this technology.
Let’s examine the impact of computer vision on education-related outcomes in five key areas: safety, security, educational experience, operational efficiency, sustainability, and increasing revenue.
Safety and security on campuses, facilities, and staff.
All educational institutions must ensure safety and security. Computer vision is used to monitor buildings, including their interior and perimeter. This data can be used for biometric access control and incident control to protect occupants and deny entry to unauthorized persons. Machine learning and AI can analyze video streams, still photographs, and audio feed to provide security personnel with real-time situational awareness. This includes identifying missing persons, identifying people who shouldn’t be there, and providing predictive occupancy to ensure spaces are under the capacity limit to comply with fire codes and social distancing.
The safety of individuals from contamination is equally essential. To detect environmental changes from dangerous materials and airborne chemicals, cameras can be used with air quality sensors to feed data into a computer vision program. Any space can be monitored for ventilation and air quality to protect your health and well-being.
Computer vision is also helpful in assisting students in moving safely around campus buildings and enhancing emergency response capabilities. Consider a student who leaves the library at night. A student uses an app on campus to inform security they are headed to their dorm. Cameras detect movement, and lights activate to illuminate the path to the resident hallway. Security staff monitor progress. To speed up the response time of law enforcement and emergency responders, a dell computer vision system can be integrated into a local municipality system.
Campus experience is improved by real-time, actionable intelligence that improves operational efficiency.
Enhancing educational experience often also delivers operational efficiencies–streamlining a service benefits the business and the people who consume that service.
On a higher education campus, getting people to their destination with minimal effort can be accomplished through augmented-reality-based wayfinding, where digital signage and apps guide people to parking spots, buildings, offices, and classrooms. For hoteling, classrooms and auditoriums can adjust lighting and air temperatures to suit the instructor’s needs.
Computer vision also makes queue management more efficient. Computer vision can be used to predict the busy times at the bookstore by combining historical sales data and visual data. Dynamic staffing can reduce wait times at the registered office and checkout lines. Employees are pre-scheduled or shift in real-time to meet customer demand. Students will soon be able to purchase books and supplies with touchless or frictionless technology. They can grab what they need and check out as they go.
Higher education campuses can be compared to mini-cities, with many having power generation plants and water heating and cooling systems. Campuses can be managed like smart cities, with computer vision to manage power consumption and water use, per-building heating, ventilation, and air conditioning (HVAC). Based on historical usage patterns, intelligent outdoor lighting can automatically turn off or use downlighting during daylight hours and light up the same areas at night.
Computer vision data analytics is used to prevent students from dropping out. One central US K-12 school district uses real-time federated analysis to combine visual factors with data obtained from academic reports, social media posts, and other sources to identify at-risk students. These insights are combined with personal observations by educators and counselors to provide student counseling and other resources that will help students succeed in their academic endeavors.
Computer vision can help schools reduce their environmental impact.
Schools of all levels are environmental stewards. They strive to create a sustainable future for their staff, students, and the surrounding communities. Many administrators see running an eco-friendly school system as a priority that will continue well into the future.
How does computer vision aid?
Building energy management systems can use occupancy data from cameras to adjust HVAC conditions automatically in real-time to maintain proper conditions for occupied spaces and conserve resources in areas that are not being used.
Digital signage systems and wayfinding use data from parking lot cameras to assist in directing traffic to the available spaces. This helps to reduce emissions. This same principle will apply to shuttles transporting people to and from university stadiums. As autonomous driving vehicles are standard, their speed and acceleration will be controlled.
Computer vision in higher education: generating revenue
Students are attracted to colleges and universities as well as private K-12 schools. A college with computer vision can appeal to parents because of its increased security and safety. However, recruiters can also use computer vision to enhance virtual tours and make the campus attractive to students.
Research universities that use computer vision’s real-time federated analytics can offer students valuable experience and the chance to learn from and use the same tools used by commercial industries like big pharma or healthcare. Research & Development grants and public funding may be available to departments for computer vision.
The United States is home to many college sports and entertainment events. Computer vision can be used to improve the safety of stadiums as well as the lives of the people who use them. It can also make fan experiences more enjoyable and increase ticket and concession sales. This will increase revenue for these venues.
Safety can be improved by generating data insights at the right speed to make timely decisions. It enriches the education experience, enhances operational efficiency, improves sustainability, and increases revenue generation. To improve the outcomes of your students, teachers, staff, and institution, think about where you could incorporate computer vision.
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