Video Surveillance Automates Business Processes across sectors of the supply chain.

From smart security benefits to productivity improvements, below are 5 ways video surveillance automates business processes.

Despite some significant issues and challenges raised by global economic instability and related supply chain problems, manufacturing output has, for the most part, continued to trend upwards. The logistics involved in supporting such growth can be both complicated and difficult to predict, with operational requirements, market demand and wider economic factors frequently changing.

So, how do so many vast and multi-faceted organisations manage to both keep pace with demand and adjust their operations in line with unforeseen turbulence? The answer, of course, is with the aid of smart technology systems and intelligent automation.

By utilising the data-backed potential of smart cameras, the Internet of Things (IoT), AI-powered software and intelligent management systems, manufacturing and logistics operations can be optimised and automated to maximise efficiency.

1. Optimised inventory management

Manufacturing and logistics management teams understand that as more products are moved throughout active facilities, the more difficult it becomes to accurately account for individual units and assess the quality of manufactured products. Whilst inventory management tasks should be overseen by human teams, smart video surveillance systems can provide essential assistance.

IP surveillance cameras linked to a wider cloud-based management system can be integrated alongside AI-powered data analytics software, allowing teams to accurately assess inventory via an automated management process. Cameras are able to capture data by scanning barcodes as items pass through facilities, producing accurate records of inventory levels in real-time.

As AI programs are designed to spot anomalous events after observing selected processes for some time, these systems are able to alert on-site staff of potential interruptions. If a machine is jammed or a product is damaged, management staff will be notified immediately and instructed to provide a response, dramatically reducing downtime whilst optimising operational efficiency.

2. Quality control and client satisfaction

Video surveillance cameras equipped with data analytics programs can also assist logistics management teams in ensuring products arrive at the correct destination, on time and in the right condition. Smart camera systems installed in strategic locations can be programmed to detect damaged goods, improperly packed products and potential faults that may cause issues.

Modern video analytics systems are capable of analysing real-time footage directly within the hardware of each camera, meaning any potential problems relating to outgoing products will be identified promptly, with on-site staff notified remotely via a cloud-based management system.

Additionally, smart cameras installed outside of manufacturing facilities can be equipped with License Plate Recognition (LPR) software, enabling staff to accurately monitor delivery vehicles and ensure shipments are sent on time. LPR technology can also be integrated into existing access control systems to ensure only authorised vehicles are able to enter active facilities.

3. AI-informed on-site security systems

On-site security teams must be able to protect both people and property at all times, though in large-scale manufacturing facilities, this can be an overwhelming task. Installed CCTV systems, such as explosion-protected cameras, supported by AI analytics software can reduce the workload shouldered by human teams, by autonomously monitoring storage facilities and workspaces to provide real-time security alerts.

AI software can be programmed to detect anomalous events that may signify potential dangers, including crowds forming in unusual areas, improper use of machinery and motion in restricted locations. Staff will then be notified of such events remotely to improve incident response times.

Security systems can be improved further via integrations with IoT devices, enabling teams to develop automated responses. For example, if a camera detects stock being moved without authorisation, IoT alarms can be triggered and access control doors can be locked immediately.

4. Workflow analysis and training support

By utilising smart video camera systems positioned to monitor production lines, management staff can automate and improve the delivery of staff training programs. AI-informed cameras can be programmed to analyse how essential tasks are being performed, highlighting elements of workflows that may be negatively impacting productivity or increasing the likelihood of injury.

This information can be logged and stored to be assessed by human teams. Staff can then tailor employee training programs to suit the unique needs of each facility, helping to improve safety protocols and streamline essential workflows to protect employees and improve productivity.

Managed databases can also be automatically created to ensure all staff can access training materials whenever they need to, helping to create a productive and safe company culture in which teams feel supported and empowered to seek assistance when potential issues arise.

5. Accurate scheduling and time management

With smart video surveillance cameras positioned to cover key areas such as production lines, loading bays and inventory storage facilities, logistics management teams can collect accurate data pertaining to average workflows to optimise scheduling and time management processes.

Historic data can be compared to live order records and supply chain information to accurately predict market demand. This enables teams to ensure departments are appropriately staffed and that equipment is serviced and maintained to be available during periods of high demand.

These data collection and analysis processes can be used to automate scheduling systems so that management teams can better focus on the more complicated aspects of their positions, ensuring that large-scale facilities are always well-prepared to fulfil orders and meet deadlines.

Summary

Appropriately managing and overseeing large-scale manufacturing and logistics operations can be a complicated undertaking, with teams expected to optimise multiple processes to improve efficiency. Thankfully, with support from modern smart technologies and AI-informed software solutions, teams can automate a range of key processes to streamline business operations.

Smart video surveillance systems can be designed to accurately manage inventory and record live stock levels, ensure products are delivered to clients on time and undamaged, improve on-site security via automated responses and make sure facilities are suitably staffed to meet market demand. With automated processes in place, logistics management can be simplified.

Find out why we were chosen as the Best International Supply Chain Development Organisation 2023, and how we can help your business by speaking with one of our expert Course Advisors. Call 0800 1422 522 today.