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Computer Vision Future Trends

Computer vision, or the potential of artificially intelligent computers to “see” in the same way that humans do, has been a subject of considerable interest and intense investigation throughout the decades. Worldwide, the concept of using Computer Vision or Artificial Intelligence technologies to automate and revolutionize business is gaining popularity among business leaders. Every year, artificial intelligence (AI) and Computer Visions (CVs) gain popularity among business owners. Artificial Intelligence (AI) has advanced substantially over the past decade and is continuously growing.
What is Computer Vision?
Computer vision (CVs) is a concept used in academia to describe a machine’s ability to gather and evaluate visual data on its own and then make judgments based on it. Computer vision is currently employed for a variety of applications. Still, on a customer level, it is now relied upon by remote control drones and cars like Tesla and Volvo. Computer vision enables computers, including robots and other computer-controlled vehicles, and everything from processing facilities and farm equipment to semi-autonomous cars and drones, to run more effectively, shrewdly, and even safely.

Computer Vision Future Trends:

The following are some of the computer vision trends that will shape the future of the industry.
Quality Inspection:
In a fast-paced industrial working environment, the production quality is critical. Visual inspection solutions based on computer vision have shown clear advantages over traditional human inspection methods and

traditional manual machines.

Many electronic manufacturers have embraced technology to automate production monitoring and detection. Computer vision is also being used in other industries, such as food and beverage, steel, and automotive, to automate and optimize visual inspections. Because of the reduced human resources, accuracy, and low cost that the technology provides, more leading companies will use Computer Vision-based Quality Inspection in the future.

Workplace and Public Safety:

COVID-19 is posing issues to workplaces worldwide, and building a safe organizational culture is more crucial than ever. Computer Vision is already being used by numerous businesses worldwide to develop safety measures. HSE video anomaly sensors have shown to be useful for automatic monitoring and continuous analysis to detect anomalies such as the lack of safety masks or shields and personal protective equipment and other essential laws such as social distance for employee safety.

Edge Computing:

Edge computing is a type of technology tied to the physical equipment that allows data and information to be processed and analyzed locally rather than in the cloud (internet) or at a data center. It is precious in companies that are prone to network interruptions.
Edge computing improvements are addressing network accessibility and speed issues. It has aided computer vision in responding even faster in real-time and only sending pertinent information to the cloud for further processing.

Sensor Data:

Breakthroughs are increasing the amalgamation of sensor and vision data through intuitive interfaces, decisive edge computing, and effective closed-loop information exchanges.
Video Analytics, for example, is opening up a new area for automated surveillance applications in the military and defense. The capacity to identify occurrences automatically and warn security officers has significantly contributed to physical border protection.

Conclusion:

After the COVID-19 pandemic, Computer Vision will be critical for the industry’s future. With the increased adoption of digital transformation in the last nine months, the urgent need for automated systems (factory robotics) in the manufacturing industry, a massive rise in demand for Computer Vision-guided quality inspection systems, and increasing favorable federal programs for worker safety, we expect the market to grow exponentially.

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