As we have already discussed in previous articles on our blog, computer vision is part of a complex smart manufacturing approach that allows computers and machines to 'see' the physical world, enabling them to extract, process, and analyze information from visual inputs. But today, we are going to address the advantages that this technology provides in controlling access to industrial plants. Stay with us in this article and learn more! Employees in various industries often work in extremely hazardous conditions, where the risk of injury is quite high. As such, factories are required to comply with safety regulations enforced by government authorities, and companies that fail to meet these standards are usually penalized. Depending on the industry and the work environment, there may be different requirements for workers to enter industrial plants. For example, wearing personal protective equipment, uniforms, technical maintenance devices, hospital or laboratory clothing, emergency kits, or vehicle equipment. However, it is difficult to keep track of every worker and supervise whether they follow the rules properly. Even though factories have cameras installed to monitor employees' movements in industrial plants to ensure safety standards, most industries perform this inspection through a manual monitoring process, in which an employee must sit and constantly monitor the video feed. These manual processes are prone to being ineffective, as reviews conducted by the human eye can be subject to various common errors that may go unnoticed. In order to avoid greater consequences that can put the worker's life and the industrial process itself at risk, it has become extremely necessary and beneficial for factories to digitally transform and automate the way individuals entering and leaving the plants are monitored. To help employers clearly understand their factories' internal processes, as well as to improve the efficiency, reliability, and speed of inspections, companies like Pix Force have developed solutions such as Pix Safety, which use computer vision algorithms that have completely changed these processes in national industries. The method is based on deep neural network capabilities for image pattern recognition, turning simple cameras into powerful tools that use Big Data to analyze in detail the patterns of each individual and also to recognize various types of objects. This process allows, in a simple and precise way, the identification of workers who violate health and industrial safety regulations. When operating in conjunction with the local cameras, the Pix Safety smart solution can constantly monitor both the production area of the industrial plants and the entry and exit points of the site. Even if there is only a minor violation of the regulations, the system reports it to the respective manager and also alerts the employees. In this way, manufacturing companies can ensure that their employees adhere to safety and protection standards. In the event of identifying an active accident, the computer vision system can alert managers and staff about where it occurred and its intensity, so that the production process can be halted in that specific area and proactively ensure employee safety. Taking all of the above into account, it is possible to identify that computer vision can make access control to industrial plants: