As we emerge from the Covid-19 pandemic, the robust global demand for goods has increased the need for factory production and warehouse storage capacity. The global warehousing market is expected to reach $627.5 billion in 2025, up from $426 billion in 2020. Security is typically handled through complex legacy systems which often lack integration and are labor-intensive. Systems and processes are expensive to set up and maintain and often have multiple points of failure.
In addition, manufacturing plants and warehouse operators have had to incorporate new health and safety measures to keep employees safe, which is not an easy task in busy warehouse environments where employees work in close proximty.
New technologies such as edge-based facial recognition have significantly improved security, health, and safety while reducing costs. This article explains how to implement similar processes in your factories and warehouses.
Facial recognition can play a pivotal role in transforming on-site security. Factories and warehouses often contain valuable goods and resources that require constant monitoring and restricted access to authorized people.
Adding facial recognition improves security while lowering costs. You can add a facial recognition solution like the FaceMe® SDK to most existing security camera systems. When connected to a database of enrolled individuals, it identifies employees, registered visitors, contractors, and block-listed individuals. In addition to keeping detailed logs, the system sends instant alerts to security personnel if needed. This solution provides 100% automated monitoring, eliminating the need for security staff to sit at a console and manually watch multiple monitors, freeing them to handle any alert quickly.
If it is not practical to add an SDK to existing legacy systems, you can choose a ready-to-deploy software solution with similar features, such as FaceMe Security which simply needs to be installed on a workstation and connected to IP cameras to monitor facilities. You can also connect to door lock systems to create facial recognition-enabled access control systems.
Monitoring operations and executing complex workflows are among the top priorities of manufacturing and warehousing organizations. Facial recognition can streamline several employee processes, such as time & attendance, machinery and equipment operations, and access control. You can automate clocking-in/out by placing cameras at employee entrances. Facial authentication systems can also keep logs to ensure that only authorized employees are operating equipment, or conducting product inspections, sending alerts if someone violates occupational health and safety standards.
Facial recognition also monitors and logs who accesses restricted areas and sends alerts if someone spends excessive time exposed to dangerous substances or temperatures – or is unauthorized but tries to gain access. It also tracks access to and time spent in facilities by contractors, visitors, and delivery people. These are only a few examples of how a flexible facial recognition solution like FaceMe can contribute to smoother operations, lower costs, and reduce dependence on human monitoring and interventions.
Factory and warehouse employees authenticate their identity using devices that typically require physical interaction. Clocking-in/out, unlocking doors, and signing on to shared computers, devices, or machinery are all activities that use touchpads, cards, or keys, raising the risk of illness through surface contact. While several facial recognition technologies can enable contactless identification, most are ineffective when a mask covers the face. Fortunately, some of the latest innovations from industry leaders, like FaceMe, can perform highly accurate facial recognition even when people wear masks, enabling secure, contactless authentication while ensuring full compliance with Covid-19 prevention procedures.
Organizations need to prepare for future pandemics, and face masks are one of the more effective ways to prevent the spread of viruses. If worn correctly, masks serve as an integral tool to keep employees, and anyone they come into contact with, safe.
Fortunately, facial recognition solutions like FaceMe can immediately identify if an employee is wearing a mask, and wearing it properly. Should an employee attempt to enter a facility without a mask placed over their mouth and nose, the technology can notify personnel and prevent access until the individual makes the necessary adjustment. In turn, the system can also immediately detect if an employee takes off their mask, allowing management to intervene.
To impede the spread of viruses, measuring body temperature has become an increasingly accepted practice.
Some warehouse operators perform manual temperature scans on each employee as they enter the workplace, but this process takes up more time and resources than needed. Equipping facial recognition technologies like FaceMe with thermal screening capabilities can make this process more efficient and completely hands-free. FaceMe can inform the individual and their manager if they are a health risk, ensuring that employees only report to work if they are healthy and can carry out their duties without harming others.
After successful pilot projects in industrial facilities and warehouses worldwide, organizations are now moving from proof-of-concept (POC) to wide deployments. Just a couple of years ago a lack of edge-based AI hardware and high costs were significant barriers to adoption, but powerful and affordable options are now becoming widespread.
However, it is important that factory and warehouse operators communicate any changes to processes and workflows they intend to make, especially when it comes to a technology like facial recognition. Poor implementation can have professional and social consequences. When applied ethically and constructively, facial recognition bolsters both the effectiveness of the supply chain and the safety of workers, even during the most challenging times.
For a complete overview of facial recognition, how it works, and how it can be deployed, read Facial Recognition at the Edge - The Ultimate Guide 2022.
For how facial recognition is used in 2022, read Top 7 Use Cases for Facial Recognition in 2022.
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