What counting finished work with one camera per machine means
Factory Analytics uses one camera on each machine to count finished parts and compare each station’s count with its daily target. It also projects where the station may finish by the end of the shift, helping teams see which machine is on track, at risk, or behind.
Count parts at each machine
A make-to-order factory may have several stations working on parts for different orders. Factory Analytics uses one camera per machine to count each finished part as it is made.
The result is a count for each station and shift. It gives the team a view of finished work across the floor.
Compare progress with the day's target
Each station’s count is compared with its target for the day. Recent pace is used to project where that station may finish by the end of the shift.
Factory Analytics shows the station with a simple status: green for on track, yellow for at risk, or red for behind. The overview is designed to be readable across the floor.
See which order is waiting
A station’s status matters because work at that machine may be needed by an order waiting downstream. Factory Analytics shows which waiting order depends on a station that is behind.
This connects the count with the work it may affect. Teams can see the station, its shift progress, and the waiting order in one view.
Spot a delay while there is time to act
An end-of-day spreadsheet can explain a delay after an order is already late. A running count and projected finish can make a station falling behind visible during the shift.
The aim is to give the team time to respond while work is still underway. Factory Analytics is machine monitoring from a camera for make-to-order factories.
What the setup needs
Factory Analytics needs one camera on each machine. It does not need sensors or wiring into the machine. The models run on a small computer in the factory.
It fits countable discrete parts, such as doors, furniture, and metal parts. FactoryVision says 10 to 100 machines is where it fits best; continuous processes such as extrusion are not supported. See where Factory Analytics fits for the stated scope.
Read counts as production signals
A count is one way to see whether a station is keeping pace with its target. It helps make progress and waiting work visible by station and shift.
Factory Analytics presents counts and projected finishes as signals for the team to read during production. It is part of FactoryVision’s camera-based machine monitoring and visual inspection.
Frequently asked questions
How many cameras does Factory Analytics need?
It needs one camera per machine to count finished work.
Does counting finished work need machine sensors?
No. Factory Analytics uses a camera and does not need sensors or wiring into the machine.
What does the station status show?
Green means on track, yellow means at risk, and red means behind, based on progress against the day’s target.
Can it show which order depends on a machine?
Yes. It shows which waiting order depends on a station that is behind.
See production progress by station
Tell us about your factory floor and request a Factory Analytics pilot on the FactoryVision website.