Warehousing and distribution
Racking slots, pallets in the marshalling area, aisle order and stock in plain sight.
Ruby Neural
Where the goods are and how long they take to move.
Ruby Neural looks at the warehouse and the loading bay: empty racking slots, loading times, forklifts and bulk goods.
The system says one thing and the racking says another.
The warehouse has a system that knows what there should be. What there really is, you find out by going down to look, and that is why stocktaking happens twice a year and not twice a day.
The same goes for the loading bay. You know which lorries have come, but not how long each one was stood there, which one got stuck or why. The figure exists in the bay supervisor's head, and only until Thursday.
And all of that is hours: of a lorry waiting, of an empty slot nobody refills and of a forklift going round in circles.
Looking is quicker than going down to count.
The aisle camera sees the whole racking run. You mark on the image which positions have to be watched and from then on you know which ones are empty and since when.
On the loading bay it measures the time of each operation: when the lorry arrives, when unloading starts, when it finishes and when it leaves. Four moments that turn a feeling into a series you can compare week on week.
None of this requires touching the management system: the figure is sent to it once it exists.
What it understands.
- Empty slots in racking and vacant positions, with how long they have been that way.
- Bay times: arrival, start, finish and departure for each operation.
- Pallets and items: how many there are, how many come in and how many go out.
- Forklifts and trucks: where they go, where they stop and which areas they enter.
- Unsafe loads, badly strapped or badly stacked.
- The level of bulk material in hoppers and piles.
Lo que Ruby Neural entiende
4 detecciones grabadas.
Logística, carga y almacén.
Ruby
Ruby
Ruby
Ruby
Cada una es una grabación del sistema funcionando. Pasa el ratón por encima —o tabula hasta ella— para verla en movimiento.
Where it is used.
Loading bays
Operation time per lorry, hold-ups and manoeuvring in the dock.
Airport: baggage
Belts, build-ups, fallen items and flow traceability.
Bulk materials
Pile level, hopper filling and lorry loading.
Casos grabados
Funcionando, en sitios de verdad.
Gestión inteligente de estanterías en almacén con Infinity Neural
Ruby Neural: Revolucionando la seguridad y eficiencia en muelles de carga
Ruby Neural: Revolucionando el almacenaje inteligente de materiales a granel .
What it does not do.
It does not read what is written on the box. It does not replace the barcode or RFID: it knows there is a pallet and where it is, not which product code it is carrying.
What it does is cover the gap between two code reads, which is where almost all the time goes.
What it takes.
- The whole racking run or the whole dock in the field of view, with no columns hiding positions.
- Enough height to see the slot and not just the front of the pallet.
- If you have to tell one product code from another, this is not enough: you need the barcode or RFID.
Each one, in detail.
The above, spelled out: what is seen, with which camera, and what it does not give you.
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If what you want to understand looks like the above, send us an image from your camera and we will tell you what can be got out of it. If it cannot be done, we will tell you that too.