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

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.

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

A lightweight face recognition solution leveraging Edge Impulse’s FOMO model, designed for fast, accurate deployment on edge devices in industrial environments.

Robust speaker ID/verification using ECAPA-TDNN embeddings for secure, personalized HMI and analytics.

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

Lightweight on-device AI agent for natural interaction and local decision-making without cloud.

On-device fine-tuning/validation of ResNet classifiers—customize without cloud dependency.

AI-based detection for product recognition and user interaction in smart vending systems.

Facial emotion analysis for adaptive, personalized HMI experiences.