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.

Speech recognition model for transcribing spoken language into text .

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

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.

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

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