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SECO adds edge AI applications to hub

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August 08, 2025

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SECO has recently expanded its Application Hub to include a new set of validated AI applications, catering to industrial OEMs looking to simplify AI integration and accelerate time-to-market. The additions encompass a range of tools such as local language models, voice recognition, biometric security, and smart imaging solutions, all aimed at streamlining development processes.

For designers of edge-based systems, this update presents practical, pre-validated solutions that can help reduce the development burden while leveraging high-performance hardware from industry leaders like Intel, NXP, and AMD.

Enhanced AI Applications for Industrial Settings

The latest AI applications introduced by SECO are optimized to run efficiently on edge devices, covering diverse use cases from conversational AI to security-focused facial recognition. One notable release is the Local Chatbot with Intel OpenVINO, which utilizes the Phi language model to enable offline conversational AI, making it ideal for applications like smart assistants and interactive kiosks that do not rely on cloud connectivity.

Another standout offering is the Speech-to-Text app, which leverages OpenAI’s Whisper model in TensorFlow to provide accurate voice transcription on edge devices. This application finds utility in various scenarios, from voice interfaces in HMIs to real-time meeting transcription. SECO has also hinted at an upcoming OpenVINO version optimized for Intel platforms.

In the realm of security, the Anti-Spoofing app enhances facial recognition systems by differentiating between genuine faces and printed or digital photos using standard RGB video input. SECO emphasizes the importance of this security feature in sectors like defense, where stringent authentication measures are crucial.

Furthermore, the Fitness Tracker – Time Series Classification application processes motion data from wearables to facilitate wellness and performance tracking, providing OEMs with a foundational element for developing advanced smart health devices.

Edge-Based Image and Manufacturing Intelligence

SECO has also introduced an Image Super Resolution app designed to enhance video and image quality through AI-based upscaling. This tool targets industries such as medical imaging and surveillance, where visual clarity is paramount for accurate analysis.

Additionally, the Image Analysis for Defect – Training Experience application simplifies quality control processes in manufacturing by enabling users to train AI models for automatic detection of production defects. This functionality not only reduces operational costs but also enhances output quality.

These recent additions underscore SECO’s commitment to cross-platform compatibility, with the applications engineered to run on hardware supported by major players like Intel, Qualcomm, NXP, AMD, MediaTek, and Rockchip. The company also plans to facilitate turnkey deployment through its Clea Framework, ensuring seamless integration for developers and product teams.

All the new AI applications are now accessible on the SECO Application Hub, providing developers and product teams with a valuable resource for exploring and implementing innovative solutions in their projects.

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