Sachet Checking Machines

IRIS

Decrease your overheads and increase your profitability with the range of sachet analysis units available from Best Health Solutions. Our devices help you to minimise errors, ensuring that you can deliver the best service possible to your patients.

ZiuZ IRIS

The IRIS checks 13 different parameters such as shape size and colour and thus greatly reducing DAA packing errors, it has a very low error rate of 1.33 sachets per million.

The IRIS is very compact and takes up the space of a printer and thus is ideal for pharmacies with space restraints.

Interfaces to most popular brands of sachet packaging machines.

The ZiuZ IRIS takes a photo of the front and back of each dosage bag for data comparison. These photos are saved in a central storage, so that they can be easily retrieved if necessary.

The IRIS uses advanced visual intelligence technology and various parameters, it analyses the contents of each medication sachet, identifying errors on screen which then can be checked and corrected by the Pharmacist.

Refer to PDF Brochure for more information.

Photon XT

PHOTON XT 24 36 54

The Photon can be fully customized to your production levels, with up to 5,400 medication sachets being checked per hour. The Photon is available in three models, the Photon 24, Photon 36 and Photon 54.

The Photon checks 13 different parameters such as shape size and colour and thus greatly reducing DAA packing errors, it also has the same low error rate as the IRIS of 1.33 sachets per million.

The Photon 24 (checking 2,400 Sachets per hour) and the Photon 36 (checking 3,600 Sachets per hour) can both be easily upgraded to a higher capacity, to a Photon 36 or 54 (5,400 Sachets per hour). This means your initial investment is lower but also allowing you to scale up as your pharmacy grows.

The Photon XT cuts and rolls the Sachets for each resident. It can process up to 5,400 sachets per hour.

The Photon can be connected to any make of sachet packing machine.

Refer to PDF Brochure for more information.