Machine areas, panels and workstations verified between shifts.
Per shift
documented handover
Photo proof
on every deviation
Seconds
per station to scan
What goes wrong today
The change happens long before anyone sees it.
- Handover notes are subjective and quickly out of date.
- Guards left open or tools left in a machine are found too late.
- 5S standards drift without anyone noticing week to week.
Example
Baseline vs. scan, side by side.
The left photo is what you taught MemoSafe. The right one is a later scan, with every change boxed and named on the image itself.
What it detects
Trained on the details of factories.
Machine state
Open guards, doors and panels are recognised as changed against the standard state.
5S drift
Objects outside their marked position are flagged so standards hold between audits.
Left-behind items
New objects on a station — tools, cups, parts — are spotted before the line restarts.
How it works
Four steps, one phone.
Step 1
Set the standard
Photograph each station in its correct, production-ready state.
Step 2
AI learns the layout
Machines, carts, tools and free floor space are identified and remembered.
Step 3
Scan at handover
One photo per station at shift change — takes seconds per area.
Step 4
Hand over with evidence
The next shift starts with a list of deviations and a photo of each one.
In practice
Write the rule the way you would say it.
Area
CNC cell 4
Your rule
"Alert me if a machine panel is open at shift end"
Alert
Panel door open on CNC cell 4 at 22:03.
Area
Assembly bench 2
Your rule
"Alert me if tools are missing from the bench"
Alert
Torque wrench missing from bench 2.
Area
Line walkway
Your rule
"Alert me if anything is parked in the walkway"
Alert
Cart blocking walkway near station 7.