Application Hub

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

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

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

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

Fast object detection using YOLOX optimized for embedded edge devices.

Efficient CNN model for image classification on mobile and embedded edge devices.

Deep learning system to upscale and enhance low-resolution images while preserving fine details.

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

Lightweight semantic segmentation model optimized for real-time street scene analysis on edge devices.

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

Lightweight and quantized PoseNet model for real-time multi-person pose estimation on edge hardware.

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