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By enabling precise and effective measurements of food products, a 3D profile sensor can be a useful tool in the food processing industry. The sensor has the ability to take a three-dimensional picture of the meal, which may be used to gauge its dimensions and other crucial details.
A 3D profile sensor can be used in the food processing industry for a number of functions, including the sorting and grading of fruits and vegetables, checking baked goods, and controlling the portion size of meat products.
The usage of a 3D profile sensor, for instance, can be used to sort and grade fruits and vegetables according to their size and shape, ensuring that only the best items are distributed to consumers. Also, it can be used to check cooked foods like bread to make sure they meet specific requirements for size and shape.
In order to ensure that different cuts of meat are sliced to the proper size and weight, a 3D profile sensor can also be utilised for portion control in the meat processing industry. This could improve productivity and cut waste in the meat processing sector.
3D profile sensor can be a useful instrument in the food processing industry, assisting in ensuring the best quality of food items while also enhancing productivity and minimising waste.
Global Food processing 3D profile sensor market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Wide conveyor food processing applications can use the all-in-one Gocator® 2490 to scan huge targets. Its 3D laser line profiler with an ultra-wide field of view and a huge measuring range can scan an area of 1 m x 1 m at a rate of 800 Hz and give 2.5 mm XYZ resolutions even at conveyor speeds of 2 m/s. Moreover, Gocator 2490 provides thorough quality examination of surface flaws.
The 3D smart sensors of the Gocator 2300 series are made to withstand the harsh industrial conditions found on a factory floor. By increasing productivity in product validation, companies may cut expenses and increase profitability thanks to the straightforward and adaptable design of the Gocator.
The Gocator 2300 series comes in five conventional variants, but it can also be modified to meet unique requirements for factory automation.
A 2D camera takes a front-facing picture of the loin. The shoulder bone and fatcap are recognised by an AI model. The grade is based on the distance between these areas. The cutting blade upstream is optimised using the shoulder bone’s form.
Profitability is increased through accurate grading, more meat per cut, and higher prices for better grades and larger pieces of meat.
