Workplace Safety is not a new concept and has become one of the main priorities for organizations worldwide today. Maintaining a safe work environment comes across as a significant challenge for organizations, and safety managers are always on the lookout for newer and effective ways to first identify the safety hazards in the organization, effective … Read more
In today’s rapidly evolving industrial landscape, the need for advanced safety protocols is paramount. As the complexities of safety regulations continue to increase, the need for smart, automated solutions is becoming critically important. Talking about creating safer work environments, one key component that helps minimize exposure to workplace hazards and injuries is Personal Protective Equipment … Read more
Artificial Intelligence is changing the way we do just about everything these days. From business, to health, to education and beyond. But it’s also becoming a powerful tool in the realm of scientific research, especially when it comes to physics, perhaps one of the most complex and abstract fields of advancing human knowledge.
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.
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.