Everything you need to know about AI Neural Networks

Everything you need to know about AI Neural Networks

What are Artificial Neural Networks (CNN)? Do they actually do something useful or are they just confusing? What is actual difference between Feed Forward and Recurrent Neural Networks (RNN)? How do they work? What are the differences between different types of layers? Let’s look at the types of layers, learning objectives, and results.

Label detection on bottles using Machine Vision tools-Case Study

Labeling is important in the food and beverage industry because consumers aren’t going to buy a product if the label isn’t present and legible. Companies can lose money on a bad batch of labels and have no way of knowing what went wrong. At Visionify.ai, we helped our client solve this problem by using Labeling Dtechnology to detect if mislabeled bottles were produced. We took a process normally reserved for commercial printers, scaled it down, and created an economical solution for them.

How to detect Defective labels on your products?

detect defective labels on products

Product labels create a product’s first impression. This is where consumers determine the look, feel, and taste of a product. Food and beverage labels usually contain origin, date and expiry, amount or volume, and class. To leverage product-specific data to improve supply chain management and prevent food fraud at points of sale, these labels must be recognized automatically.

How food and beverage case code reading is achieved

code reader

Case code reading is essential for food and beverage companies who wish to monitor their inventory, ensure quality, and maintain safe handling procedures. These practices are to be followed by every food and beverage company at all times. You may be wondering how case code reading is done. In this article, we will check food and beverage case code reading.