Energy-efficient, real-time object detection optimized for low-power edge devices with strict battery and thermal constraints.

AI vision application to detect human falls in real time for safety, elderly care, and industrial risk monitoring.

Deep learning solution that classifies human actions in video streams for workflow analysis and operational safety.

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

Energy-efficient object detection optimized for edge platforms with power and thermal constraints.

Fast object detection using YOLOX optimized for embedded edge devices.

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

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

Real-time AI-powered vision system for detecting defects in manufacturing environments

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.