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

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

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.

Real-time activity recognition using motion sensor data from wearable fitness devices.

A time-series forecasting model designed to predict sensor data patterns in smart buildings, enabling proactive energy management and maintenance.

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.