From sensor data to actionable intelligence at scale

Computer Vision (CV) is the AI domain that empowers machines to process, analyze, and comprehend visual content from images and video. At QED Software, we deliver advanced CV solutions that automate quality control, enhance safety, and optimize logistics. Our core competencies include the full range of CV tasks from classification, detection, and segmentation to real-time video analysis. We specialize in working with complex, multi-modal sensor data inputs.

Key Benefits: Impact on operational efficiency

• Automated quality control. Achieve superior, precise, and repeatable defect detection in manufacturing, minimizing human error and downtime.
• Operational efficiency & safety. Utilize image and video analysis for automatic inventory management, resource identification, and real-time safety monitoring in industrial or logistics environments.
• Advanced IoT Integration. We seamlessly integrate visual intelligence from cameras and other sensor data into your core enterprise systems (ERP/IoT), enabling automated, rapid system response.
• Performance optimization via model distillation. We use Model Distillation techniques to deploy highly complex and accurate models onto resource-constrained edge devices, ensuring both high performance and cost efficiency.

Our Approach: Building Efficient Computer Vision models

Our approach focuses on developing CV models that are reliable under demanding production conditions:

1. Sensor data readiness. We assess, prepare, and manage massive visual datasets, focusing specifically on integrating and processing data streams from various sensors for unified analysis.
2. Model engineering & optimization. We create highly optimized CV models. Our R&D rigor includes model distillation to generate 'lighter' student models from 'heavier' teacher models, perfect for high-speed or edge deployment.
3. Production integration. Models are integrated directly with machinery and IoT/ERP systems, guaranteeing low-latency data flow and system reaction.

MLOps for Computer Vision. We deploy specialized MLOps pipelines that monitor model performance in real-time, accounting for changing visual conditions.