ivii has built iriis, a camera-based visual intelligence system that anchors the company's line of smart manufacturing and logistics products. The system relies on a camera module that documents each work step in precise detail. In its basic configuration, an AI model checks the resulting images against a learned "ideal state" and returns feedback the moment a step deviates from it, rather than waiting for an end-of-line inspection to catch the error.
Setting up that baseline model does not require a data science background. According to ivii, training the AI takes only a few minutes and operators can run the process themselves, feeding the system example images of a correctly finished step rather than writing code or configuring rules. Engineers who need to instrument many small or changing workstations will care about that low setup cost, since it lets a line get visual inspection coverage without waiting on a dedicated machine vision integration project.
For jobs that need more than a straightforward match against a reference image, ivii trains custom neural networks in-house. The company's own engineers build task-specific models for individual applications on top of the same iriis camera core, rather than leaving that work to the customer. That two-tier setup, self-service training for routine checks and ivii-built models for harder problems, lets the same hardware cover a range spanning simple presence and completeness checks up through more specialized inspection tasks, without a change in camera hardware on the line.
iriis functions as the shared core across ivii's broader smart product line, deployed either as a stand-alone inspection station or wired into larger manufacturing and logistics infrastructure alongside other equipment.
