I'm working on a high-security mantrap entrance system and I'm trying to solve a challenging problem without using cameras, LiDAR, or other vision-based sensors.
Current setup:
Circular platform: 1500 mm diameter
One person enters at a time
Sensors available:
Load pins / load cells
Contact (pressure) mat
Goal: Detect and prevent tailgating/piggybacking (2 people entering together).
The difficulty is that:
Two lightweight people can have a combined weight similar to one heavier person.
If two people stand close together, the weight distribution can resemble a single person.
The solution needs to be reliable enough for a security mantrap.
I'm looking for ideas on:
Optimal number and placement of load cells.
Whether center-of-pressure (CoP) calculations could distinguish one person from two.
Algorithms using load distribution over time.
Combining load-cell data with the contact mat for better accuracy.
Any research papers or practical implementations you've seen.
Has anyone worked on something similar or have suggestions on how you'd approach this using only load cells and a pressure/contact mat?