Industrial Applications of Computer Vision
We now know that the use of technologies such as artificial intelligence and machine learning is inevitable for every sector. The industry level of a country directly determines its position in the world. This article will explain the use of artificial intelligence and machine learning in the industry. In this sense, there are two topics we need to touch upon. The first is occupational health and safety and the other is increased production efficiency.
Keeping employees safe and saving lives
Whether on factory floors, construction sites, or warehouses, accidents have been an ongoing, and sometimes deadly, factor across all industries. Adding in the pandemic — and an increasing rate and intensity of natural disasters — the safety of employees and citizens become more complicated and difficult to maintain. Companies can now use machine learning to reduce workplace accidents, help companies identify potentially ill employees when they arrive at the facility, and assist organizations in the operational management of natural disasters.
Work-related injuries cost the economy $61.8 billion with the costs borne by both the organization and the worker themselves, making this extremely challenging for both parties. If we look at the general causes of these accidents, the entrance to the restricted area, vehicle collision and fire and poisoning caused by the thermal increase of people and industrial systems on the factory floor.
Artificial intelligence uses sophisticated computer vision algorithms to protect people working around dangerous machines — such as forklifts, trucks, or manufacturing machinery. It can detect instances of spontaneous combustion of materials, overheating of equipment, and fires in the workplace, as well as analyze, report on, and alert machine operators in real-time about unexpected events, such as a person being in an unsafe area even when not in the line of sight of the operator. A factory in Singapore using this technology saw a 22% reduction in accidents even early in the installation, and this was an impressive herald of what will come when fully installed. Overall, it sees an average 80% decrease in incidents in the operating environment of factories that use it.
In a pandemic, the choice between returning to work and staying safe has been particularly challenging. Now, safety measures such as mask and social distancing policies, as well as temperature screening, are allowing businesses to reopen their doors and keep their employees healthy. Manual temperature screening, however, can be a blow to productivity, causing bottlenecks at entrances and exits, and it doesn’t catch employees who begin to get sick during the day.
In this sense, Xena Vision offers high-tech solutions. It solves these problems by its ability to image too many people in a short time using thermal imaging, which can instantly detect high temperatures in real-time. It can be deployed in any location in an organization — at the entrance of the building or the factory floor, cafeterias, breakrooms, washrooms, and anywhere else employees move throughout their day.
Increasing work efficiency and effec tiveness
Another important thing is that, implementing AI-based technologies in business operations automates business processes, eases customer and employee relationships, and helps businesses gain insight through data analysis. Top AI technologies used in business operations include machine learning, deep learning, chatbots, virtual agents, and natural language processing.
The implementation of AI-enabled solutions in business operations offers several benefits. Some of the benefits include:
- Adequate customer support helps build consumer relationships in the long run and customer loyalty in return. To advance customer support, the presence of emotion AI helps to help prioritize tasks. Emotion AI classifies different categories of emotions such as angry, frustrated, happy, and excited. Obtaining such information further boosts the customer service department service delivery. In addition, Xena Vision offers a high-tech service in this regard. By detecting the choices of the customers with cameras, a suitable placement order can be provided to increase the services according to their requests.
- AI technologies such as machine learning are boosting predictive marketing by analyzing prospect’s data and predict potential buyers.
- AI features several security applications that defend against attackers and protect individual and company privacy, thus preventing crime. Cases of security and personal data threats are on the increase in businesses. To help gain trust among consumers, businesses should adopt AI into their cybersecurity.
- Implementing AI technologies to automate recruitment seeks to save time and boost effectiveness by using large amounts of data to identify a match on an applicant’s skills, experience, and job requirements.
- The key objective of AI-based technologies is to save time, promote efficiency and productivity, and eliminate monotonous and tedious tasks. Manufacturing businesses implementing AI-based technologies reduce costs due to efficiency from predictive and preventive maintenance and upgrades. In addition, you can save more from reduced downtime.
As a result, the evolution of machine learning and artificial intelligence-based technologies is critically ensuring occupational health and safety. It is also changing business operations and undoubtedly lowering operational costs, advancing customer support, automating recruitment, increasing security, and actually revolutionizing the industry.
