Six Trending Computer Vision Applications that you should be aware about
Updated: Jan 25
We're frequently astounded by how sophisticated computers have grown, and widespread networking has produced systems that are incredibly complicated and potent.
However, another trend that may not have received as much attention as it should: low-cost video capturing and recording. Organizations are able to capture and store a tremendous amount of video thanks to improving compression techniques and declining storage costs, and camera component prices have dropped significantly. Modern techniques are making video analytics/machine vision helpful in a variety of fields, and computer vision is now frequently used to analyze video without requiring time-consuming human input. Here are the top six applications of video analytics.
No place is safe, and theft is still a widespread occurrence. To stop theft, stores must make significant investments, and staff theft is still a problem in offices. Physical data breaches will always provide a serious risk, and theft of digital resources is another major problem. Even though a few well positioned cameras can catch almost all types of theft, maintaining active surveillance of cameras is expensive. Additionally, as anyone who has witnessed a magic show will confirm, humans who are viewing videos can be easily tricked. Modern artificial intelligence algorithms can identify theft using video analytics and notify security workers or law enforcement officials. When combined with theft detection systems, the widespread use of cameras will act as a potent deterrent to theft. When they believe they won't be detected, people frequently steal. Fewer people will be willing to take the risk of getting caught as a result of current and prospective theft detection systems.
The advantages of theft prevention in retail are obvious. But Computer Vision have considerably more potential. Successful retail establishments have always relied on psychology; where and how merchandise is displayed can make the difference between profits and losses. Store managers can receive detailed feedback through video analytics, and retailers can try several layouts to identify the most profitable ones. Retail companies can find previously undiscovered ways to increase client engagement and provide better sales results when they combine machine learning and other technologies. Many people don't realise how advanced the science is behind retail establishments, and video analytics is ready to provide a wealth of fresh knowledge.
Industry and manufacturing
Physical objects will always be necessary, despite the fact that the world we live in is becoming more and more digital. Computer Vision provides a compelling set of new capabilities for the manufacturing and industrial sectors. Since inventory management is essential to efficient operations, warehouse management necessitates a significant quantity of human labour. Warehouse managers can rely on automated tracking when equipped with video analytics. Additionally, analytics technologies can uncover ways to make warehouses run more effectively, giving those who can fully utilize the technology a competitive advantage. To uncover product flaws and determine where the production process may be further optimised, video monitoring is being employed more and more. Video analytics can deliver information that no other technology can match for predictive maintenance, which is widely used.
Although the technology is not without its share of issues, video is a potent tool that can improve public safety. Law enforcement officials are now able to identify certain people while they are there and monitor or react appropriately thanks to facial recognition technology. Being a fugitive is becoming more challenging in an era where facial recognition techniques have become so potent, and law enforcement organisations are anticipated to rely more and more on the technology in the future years. Those keeping an eye out for terrorist activity can spot any gatherings of people on watch lists, thereby thwarting plots that might otherwise go missed. Although many have cited video surveillance, with and without analytics, as one of the reasons violent crime rates have decreased in the United States and abroad, it is still unclear whether society will embrace ubiquitous facial recognition.
Cities' public transit networks are their foundation, and Machine Vision can assist identify opportunities for development. Instead of using more conventional counting techniques that are done on a periodic basis, smart systems may automatically count how many people utilise specific routes and they can follow changes over time. Law enforcement can track people's movements by automatically logging licence plates, for instance, while facial recognition technology integrated into public transportation networks makes it more difficult for people to hide their actions. However, the advantages for pedestrians will be clear-cut. City planners may reduce risks and install pedestrian-friendly infrastructure by monitoring how people move across cities, particularly through roadways and other hazardous places.
Healthcare and video go together naturally. The ability to track patients at a health centre increases efficiency in hospitals and other crowded places by enabling doctors and other caregivers to instantly know where to find their patients. Monitoring patients with dementia will show to be a very useful use case. Care facilities can use facial recognition to make sure staff members are informed if a patient leaves the facility and can act quickly. A much more common application of video analysis in recent years has been as a diagnostic tool. Healthcare providers can rely on artificial intelligence to support their diagnostic capabilities by merging video with analytics technologies. However, given that healthcare regulations are frequently extensive, privacy concerns must be handled.
When first introduced, digital video appeared to require much too much data to ever be useful. Most of us now own smartphones that can record and save a lot of video, and the Internet of Things has demonstrated that digital cameras are now surprisingly affordable. While video is becoming more common, the tools required to automatically analyze data are soon becoming available online, and the advantages to society might be enormous. However, it's crucial to take into account some of the drawbacks. How much of their privacy are people willing to sacrifice for comfort and security?