Beyond rejection
how to improve the line with real data
Understanding why you reject a product is the first step towards process improvement
In many food production lines, inspection is managed as a filter: detect, reject and prevent defective products from reaching the consumer. That is the minimum requirement. But every incident detected by an inspection system contains more than just a defect: it contains information about the process.
What type of problem occurs most frequently? Is it associated with any other process variable? Does the problem always occur during the same shift? With a specific product reference? After a certain time? With a particular supplier? Without correlated data, these questions remain unanswered, the problem persists, and your production line continues to experience rejection rates that fail to improve.
Inspectra Production Browser (IPB) software turns inspection into a source of useful data: real-time production metrics, rejection history by batch or product reference, defect trends and stored images of each incident. All accessible and available for analysis on a single platform.
Because the value lies not only in detecting errors.
It lies in identifying patterns, anticipating incidents and making the best decisions to prevent them from happening again.
When inspection generates useful data, in addition to providing essential quality control, it becomes a competitive advantage that helps increase the efficiency of your production line


















