Weighing and Detection
Using
algorithms and deep learning to beautify confectionery
Kennedy’s Confection Editor Kiran Grewal reports on the development of technology like image processing solutions to create high quality confectionery products
I
n a world driven by efficiency, productivity and marketing tools showcasing the idea of “perfection”, whether it be a person or a product, consumers today simply won’t tolerate faults and damages. And when brand integrity is as delicate as a chocolate flake, what challenges are confectionery manufacturers finding when inspecting their products and how can new technology make this process straightforward and less time consuming? Confectionery products typically come in small boxes and packs and must therefore be handled carefully during production and packaging processes. The product handling capabilities of detection equipment are an important consideration for manufacturers in this area to avoid damaging the product.
24 Kennedy’s Confection April 2022 Brands are built on consumer trust. A very quick way to
lose that trust is to deliver poor quality or unsafe products to the market. Detection of contaminants is therefore a critical process within the overall goal of building and maintaining high levels of brand integrity with consumers. The provision of high quality, safe products should be non-negotiable, and compliance with a wide range of legislation and standards regulation through product inspection excellence goes a long way to safeguarding brand reputation. On a purely commercial basis, detection also helps to reduce the risk of having to implement a product recall, with all of the cost, waste, embarrassment and reputational damage that these entail.
KennedysConfection.com
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