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.
Artificial Intelligence is finding its way into different sectors of the economy. In this blog, we’ll talk about how AI can solve food processing issues and why it matters.
This case study examines the challenge of detecting retail inventory issues. The presentation covers the detection technology, a background on how it was used in an actual project, and a discussion of lessons learned.
Mood Board Search is a fun and easy way to train computers to recognize visual concepts. It’s a playful way to explore and analyze image collections using mood boards as your search query.
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.
Our customer was experiencing problems managing their warehouse inventory. They had already tried several solutions unsuccessfully before choosing our image recognition and machine-learning technology because it seemed to provide the most powerful and comprehensive solution.
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.
The beverage industry needs to be highly vigilant about losses due to product leakage. Leakage is costly and can be eliminated when problems are detected in the early stages of production.
Automatic Inline Label Inspection System Case Study. This report will look at the case study of an Automatic Inline Label Inspection System that is being used by a customer which is a food processing company. The company was having trouble with one of their process lines which resulted in low yield and lot failures, so they decided to automate the rejections.
Design privacy is assured and the solution is deployed on your organizational premises where you just get access to the employee images. This makes Visionify soon-to-rank among the top software development companies in the United States of America in the GoodFirms listings.