Why Edge Inferencing Matters for Manufacturers
Edge inferencing refers to the process of running pre-trained AI models on devices at the “edge” of a network, closer to the data source, rather than relying on a centralized cloud server. The data is processed and analyzed right where it’s...
5 Ways Vision AI Can Reduce Risk in Food Manufacturing
One mislabeled product, one damaged package, or one underfilled case can throw off your entire day—leading to rework, waste, or worse, a product recall. You’re juggling quality, speed, and compliance in a high-pressure environment, where even a small mistake can turn...
The True Cost of Food Recalls: How Smart Manufacturers Are Using Vision AI to Protect What Matters Most
In 2023, the FDA and USDA issued 337 recalls [1]—a sharp reminder that even trusted brands aren’t immune. And while the total number of food recalls did not increase in 2024 compared to 2023, the number of illnesses, hospitalizations, and deaths caused by recalled...
Blind Spots in Traditional Manufacturing Quality Control Methods
Quality control is the backbone of manufacturing. Without it, defects slip through, leading to costly recalls, dissatisfied customers, and damage to a company’s reputation. Yet, traditional manufacturing quality control methods often have blind spots that can...