Computer Vision

We are excited to present you our latest article on Computer Vision powered Spatial AI:

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.

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.

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.

Computer vision is becoming more and more relevant in the QC field of different industries. This case study will show you how a small batch of bricks can be analyzed using computer vision, and help the brick manufacturer to solve common quality issues in the production procedure.

Foreign object detection and rejection by a poultry processing plant is essential to maintain and increase the quality of their products. Today most food manufacturers have inspection systems in place that inspect products as they pass down production lines. 

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.

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.