Smart Retail Shelf Pusher That Detects Theft by Movement
This patent describes a retail shelf pusher that uses sensors to track how far and fast products are moved, triggering an alarm if items are pulled out too quickly, like in a shoplifting attempt.
Patent Number
US 12733753
Status
Active
Filing Date
October 7, 2024
Grant Date
September 15, 2026
Expiration
~October 2044 (estimated)
Claims
0
Assignee
—
Inventors
—
Citations
0 forward · 0 backward
What it covers
This patent describes a retail merchandise pusher designed to slide along a shelf track, keeping products at the front. It includes a housing with a spring drum and coil spring, which pushes items forward. A controller is connected to a sensor arrangement inside the housing. This arrangement includes a spring drum sensor to detect the spring drum's rotation, a direction sensor to know which way it's turning, and an incremental distance sensor to measure small movements of the pusher. The controller uses this sensor data to calculate the total distance and direction the pusher has traveled. If the pusher moves more than a set distance within a specific time, indicating a potential theft, the controller generates an alarm. For example, if a shoplifter quickly yanks several items from a shelf, causing the pusher to retract rapidly beyond a programmed limit, an alarm would sound.
What it doesn't cover
- —Does not cover anti-theft systems that rely on RFID tags or security gates at store exits.
- —Does not cover systems that detect theft based solely on weight changes on a retail shelf.
- —Does not cover shelf pushers that do not use a spring drum or coil spring mechanism for product advancement.
- —Does not cover anti-theft systems that only detect product removal without measuring the actual travel distance of the pusher itself.
- —Does not cover security systems that use cameras or facial recognition to identify potential shoplifters.
The clever bit
The clever part is using the natural movement of a spring-loaded shelf pusher itself, combined with precise incremental distance and direction sensing, to detect suspicious product removal patterns that suggest theft, rather than relying on external sensors or product tags.
Why it matters
Retail theft, also known as 'shrink,' is a significant problem for stores, leading to billions in losses each year. This patent offers a way to detect shoplifting attempts directly at the point of sale on the shelf, providing an immediate deterrent. By actively monitoring product movement, it could help reduce inventory loss and improve store security without requiring constant human surveillance.
Real-world examples
- 1.Supermarket shelves for high-value items
- 2.Electronics store displays for small gadgets
- 3.Pharmacy shelves for over-the-counter medications
- 4.Convenience store aisles for popular products
- 5.General merchandise retailers
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US 12733753 · 2026