Inventory Shrinkage Management
When retail inventory disappears without being paid or accounted for, it is called ‘Shrinkage’. This isn't necessarily caused by theft, but also by accidentally bypassing the register or self-checkout scanners. Companies are embracing AI to tackle this problem using visual scanners and cameras to monitor the checkout area. Cues like hand movements under the barcode scanner and number of items in the trolley at self-checkout are visual aids in this process.
Dash-Cam Video Screening
Dashboard camera footage is a great way to analyze incidents at a street-level. Many businesses store millions of hours of footage that they screen to check for surveillance purposes. Manual screening of this footage can be tedious and time-consuming. AI can automatically screen this footage and reduce the time of searching through dash-cam data. Events like accidents, break-ins, and hit-and-run can be tracked from video using Object Detection technology.
Safety Gear Verification
Personal Protective Equipment ( PPE ) protects workers against safety risks. Not wearing PPE dramatically increases the chances of workplace injuries. Such accidents lead to fines and financial losses. . Round the clock monitoring of workers for PPE compliance is almost impossible with human operators. However, video cameras equipped with the right Artificial Intelligence systems are able to do this automatically. Automation of PPE compliance helps manufacturers reduce the risk of accidents, reduce employer liability, and improves operational efficiency.
Perimeter Monitoring and Protection
Manufacturing plants have various restricted areas that are not suitable for workers to access unintentionally or otherwise. These may be high-risk areas like electrical wiring rooms or crucial areas like server closets. Computer Vision can be used to detect movement in such areas. Line-crossing events are automatically registered by the AI system, which can then notify the appropriate authorities, reducing the risk of damages and injuries.
When an accident or workplace safety incident takes place, it is important to notify the concerned department as soon as possible. In large warehouses, it is difficult to take notice of all such cases through manual monitoring of CCTV footage alone. An AI system can detect such instances automatically and report it to concerned departments quicker than a human can. The ML model can be taught to identify workers fallen on the floor, unexpected breakdown of vehicles, crowding of workers, and blocking of surveillance equipment.
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