JustEat - Fondue thought differently
Design by Constantin Boes.
Idea
The idea of this fork is to create a supportive and accommodating alternative to conventional fondue cutlery. The "smart" fork can measure the internal temperature of the meat with a built-in thermometer in the tines and tells the user when the meat is suitable for consumption based on the preset type of meat and the degree of doneness.
The aim is to eliminate the inconvenience of checking the doneness meat by reducing the consumption of fondue to sitting together and talking. The cutlery fades into the background and only a gently LED indicates when the meal is ready.
Research and problem statement
After an extensive research it is noticeable that the variations of fondue sets on the market are very small. Basically, a distinction is made between meat fondue, cheese fondue and chocolate fondue, whereby the latter two have no cooking process in the preparation, which is why it is not necessary to use them in the form described above. For this reason, I will concentrate on the meat fondue in the following, for which the fork is also designed.
As far as the intelligence of the sets is concerned, the market is very limited. The "smartest" devices only offer a temperature regulator for the oil where the meat is cooking in, but this only regulates the heat and does not help with the preparation. But even these appliances are not very common, as most still work with oil or fire paste.​​​​​​​
Fomal aestetics and design
In terms of formal aesthetics, the fondue fork should take a back seat and move away from wooden handles, polished chrome elements or coloured plastic stones at the end of the handle. With its classic and fine appearance, it skilfully hides the technology and innovation inside and remains unagitated and of high quality due to its colour and materiality.
The 10 centimetre long handle runs conically to the OLED display and ends in a crown through which the operation takes place.
On the crown, there is a ring-shaped LED that gently illuminates in 6 different colours to identify the user when the desired degree of brightness is reached.​​​​​​​
Operation and processes
Model making
Results
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