4 Smart Camera Use Cases for Industrial Manufacturing

AI-powered IoT cameras are already in use in a diverse set of industries. These span retail, logistics, transportation, event management, and agriculture. In industrial settings such as on the shop floor, cameras are not just about security and surveillance. On top of that, they offer unparalleled insight into operations and track efficiencies when implemented with Industry 4.0. Further still, when combined with edge-based AI and ML models, smart camera solutions make it possible to build a variety of use cases using analytics and decision-making in real time.

Predictive Maintenance to Improve Shop Floor Operations

IoT cameras provide a bird-eye view of every aspect of your operations. They monitor the condition of machines and the way equipment is maintained. But cameras also provide reliable information on employees’ access history to certain devices. In an industrial setting, IoT cameras can be installed even within especially sensitive equipment pieces.

This way, they offer first-hand information on mission-critical actions and assist in AI-driven predictive maintenance efforts.

AI-powered Work Hazard Protection for Employees and Machines

Object detection and tracking human motion across the machine halls are making it easier to predict where an incident might happen. AI-powered IoT cameras can go one step beyond monitoring their environments by taking on a preventive role.

This way, machines, industrial equipment, manufactured goods, and the constant flow of staff on the shop floor will operate in an environment that allows them to move freely while precluding any unnecessary risks. Missing safety masks or other security equipment such as hard hats can be detected and alerts can be sent out to even prevent accidents in the first place.

Asset Tracking and Inventory Management 

IoT cameras can help with asset tracking on the shop floor and across locations. They effectively empower manufacturers to learn more about asset behavior, improve or scale processes, and find out where to automate. AI-enabled cameras also do well in inventory management thanks to object detection and counter apps. They prevent outliers and help identify items that seem misplaced or malfunctioning.

But it doesn’t stop just there. With license plate detection, the inventory can even be tracked through the arrival and departure of vehicles. This lowers not only the accident risk but helps to automate the process even further when combined with access management and logistics.

Crowd Management in Sensitive Areas 

Tracking people along production lines and looking into staff movements on the shop floor, especially close to sensitive areas, are indispensable in industrial manufacturing where safety is written large. This includes access management to certain areas as well as crowd control in crowded places. 

But crowd management during concerts or large sports events is where IoT cameras can truly excel. This isn’t just about simple video surveillance but about deriving AI-driven smart actions from multiple cameras at strategic locations that can ultimately prevent incidents and improve the visitor experience. People-counting IoT apps installed on multiple IoT cameras across a sensitive area can make all the difference when it comes to ensuring that an event is taking place in a safe environment.

Smart Camera Solutions with IoT Apps

The key here is AI-driven video analytics powered by IoT apps. Smart apps installed on cameras can serve a wealth of use cases. They trigger smart actions when and where they are needed. This means tapping into unforeseen business opportunities and unlocking unprecedented ways to streamline logistics, manufacturing, or people management operations.

With the Record Evolution app store and the platform’s app development environment, you build, test, and deploy apps on multiple connected cameras.