The full answer
Computer vision use cases appear across Creuto's industries: scanning documents and invoices in finance and operations, recognising products for retail and eCommerce, inspecting equipment or crops from photos in manufacturing and agriculture, monitoring vehicles and assets in smart city platforms, and verifying identity in onboarding flows.
The approach depends on the task. Multimodal LLMs can describe and extract information from images with no training, which is often enough for document understanding. Dedicated models trained on your own labelled images are better for precise, high-volume detection, and lightweight models can run on a phone for offline use.
Data is the main effort. Creuto helps define what to capture, sets up labelling, checks for bias across lighting, devices and conditions, and measures accuracy on held-out images before anything goes live.
Vision features are integrated into web and mobile apps with careful handling of camera permissions, image upload sizes and privacy, especially where images contain people.
The Binimise smart city platform, with its IoT bins, fleet management and field staff apps, shows the kind of operational environment where field data flows into a command centre, which is where vision features typically add the most value.