Computer vision and image processing
Custom image analysis that turns camera inputs into object, position, motion and inspection information.
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SOPON develops computer vision, machine learning, edge AI and custom AI-powered software solutions for industrial and business applications.
Custom image analysis that turns camera inputs into object, position, motion and inspection information.
View detailsObject detection development using custom datasets, model training and camera integration.
View detailsModels matched to business data for classification, regression, anomaly detection and forecasting.
View detailsNeural-network model development for images and complex data.
View detailsLocal AI applications processing camera data close to its source.
View detailsSoftware connecting model outputs to workflows, APIs, web and mobile applications.
View detailsAI for visual inspection, production data analysis and operational support.
View detailsData, model and software development for sector-specific business problems.
View detailsSpecifications, hardware compatibility and modules are confirmed in the proposal scope.
Image and data analysis can be assessed for manufacturing, logistics, retail, enterprise software and data-intensive workflows. Counting, inspection, document/image analysis and forecasting are project use cases, not customer references.
View detailsTechnologies assessed for data preparation, modelling and application integration.
View detailsReview objectives, installed systems, data and field conditions together. Define scope, interfaces and responsibilities before a proposal.
Turn hardware/software relationships into a clear technical design. Use versioned development and controlled tests with defined boundaries for installed systems.
Test normal and fault scenarios against acceptance criteria. Tie delivery, documentation, backups and maintenance access to the agreed scope.
A camera image is not itself a decision. Computer vision processes images to answer a defined question; a useful application starts by specifying that question and its operating conditions.
Read articleThe YOLO family can locate defined object classes in images. A production application also needs consistent labels, decision rules and on-site testing, not just a model choice.
Read articleMachine learning learns a relationship from examples to predict new inputs. The first project question is which decision needs improvement and how to measure it, before choosing an algorithm.
Read articleShare your requirements, installed systems and acceptance criteria. We can assess the solution and implementation scope together.