Guided training environment for creating and preparing custom Face Recognition models, with optimized deployment and inference on SECO hardware.

HMI system that uses AI to recognize operators during alerts and show personalized troubleshooting instructions.

Detects critical alarm sounds (e.g., fire alarms) and triggers immediate machine shutdown for safety compliance.

High-resolution neural network for accurate keypoint detection in human pose estimation tasks.

AI-powered image analysis tool for defect detection in industrial environments, with a guided journey for customizing new defect types.

Deep learning model to detect presentation attacks in biometric systems, enhancing security against spoofing attempts.

High-precision OCR application that detects and transcribes text from real-world images with superior accuracy, ideal for industrial and logistics use cases.

Lightweight OCR application that detects and reads text in images using a faster, lower-resource model designed for embedded and edge devices.

Specialized AI-based vision system for detecting surface and structural defects on printed circuit boards (PCBs) during manufacturing inspection.

A training pipeline for customizing YAMNet to recognize new environmental or industrial sounds.

Advanced transformer-based detector optimized for accurate, real-time edge performance on SECO platforms.

Deep-learning gesture recognition for touchless HMI in dynamic environments.