Vision Intelligence
Support pilot projects for inspection, object detection, and domain-specific visual recognition.
New Horizon provides AI image and imagery recognition services, delivering models, inference services, and evaluation reports with explicit limits on applicability.
Last updated: 2026-08-12 · New Horizon Digital Outsourcing Team
Explore implementation guides and case studies to understand input requirements, technical approaches, delivered assets, and methods for evaluating outcomes.
Engineering Notes
Document target classes, acquisition equipment, resolution, scenario distribution, and annotation rules. Split training, validation, and test data by acquisition batch or object to prevent leakage of similar images from inflating metrics.
Select models for detection, segmentation, or classification, and agree on inference hardware, latency budgets, and confidence thresholds. Catalog missed detections, false positives, small objects, and occlusion scenarios, and define where reliable recognition is not possible.
Provide an evaluation dataset inventory, per-class metrics, representative failure samples, and the runtime environment. An overall average score cannot replace acceptance of critical classes; changes in data distribution also need monitoring after launch.
Related standards and technical documentation for solution selection and implementation.
Describe your stage objectives and constraints (without classified details), and we will provide scope recommendations and a deliverables list.
