Computer Vision & Image Recognition

First of all, it really depends on what kind of issues you have. If you need a product quality check, a vision model will be able to do that in real-time. If there's too much paperwork and documents to be processed, OCR technology can help extract the needed data. Retail companies employ vision solutions for shelf monitoring and self-checkout stores, while logistics departments need it for package scanning and tracking. It all comes down to this: if you need someone to watch and make a decision based on what he or she sees, computer vision can handle it automatically.

Absolutely – and that’s the norm rather than an exception. The general models have been trained on generic datasets, thus failing to account for subtleties particular to your product, your environment, or your customers. Our models are built and trained on your own dataset, hence providing a solution customized for your specific needs.

We’ve had the opportunity to deliver our solutions in retail, healthcare, manufacturing, and logistics, among others; however, the technology that we develop can be implemented way past those industries. If your business relies on visual information, be it images, videos, or visual inspections, we’ve most likely faced a similar challenge.

There is no magic number as it largely depends on how challenging the task is and how much variation the model must cope with. In some cases, even a few hundred labeled images can suffice, while in other cases – when a lot of exceptions and nuances are involved – you might require thousands of them. To be frank, just show us what you have, and we will give you an assessment.