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.
RISK & COMPLIANCE
Most businesses maintain a strict policy on who is allowed on their premise. Manual methods of supervision are prone to oversights and unauthorized personnel can cause asset and information risks in the workspace. Camera systems, backed with Computer Vision, can keep better track of staff, visitors and other entities in a secure workspace. AI can identify anomalies quickly and send automated alerts, saving the business millions in thefts, property damage, information breach among others.
RISK & COMPLIANCE
Automatic Number Plate Recognition
In many gated communities and secure premises, vehicle screening is a manual and mundane task. AI and Computer Vision can be used to automatically check if plate numbers belong to registered employees, residents, vendors, workers etc. and allow automatic entry. Office and resident complexes, schools, construction sites, manufacturing plants, loading docks, freight entrances use this AI implementation to secure their workspace against intruders.
In large farming fields, regular surveillance of crops and plots is a resource intensive task. Farmers can incur various losses due to improper field monitoring. Produce can be affected due to fires, foreign body and vehicle intrusion, animal invasion among other reasons. High-definition images from airborne drones or sensor platforms, can create field maps across large acres of space. AI systems can automatically identify areas requiring immediate attention. Farmers can reduce costs in resource allocation and profit from increased crop yields.
LOGISTIC & SUPPLY CHAIN
In procurement, both the buyers and vendors have to ensure that the documentations remain consistent in the transaction. The contents of purchase orders, invoices, and order receipt notes, etc. have to match. Manually checking these documents is resource heavy and complex, due to variances in format, nomenclature differences, and unstructured language. This can lead to delivery and payment delays, over or understocking, and loss of revenue. AI streamlines this process, using NER to extract information like delivery address, vendor names, product details, quantity, and pricing from these documents. Using the extracted data, AI can be taught to seamlessly match PO’s with their Invoices and ORN’s, maintaining transaction consistency.
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