The SECO Application Hub accelerates edge AI adoption by identifying off-the-shelf models for vision, audio, speech, and LLMs - as well as optimized hardware it can be deployed on. Now, edge AI developers can streamline hardware integration, reduces time-to-market, and focus on their application value add with just a few clicks.
SECO App Hub: Simplify AI Development and Deployment
The SECO Application Hub provides organizations with the tools they need to accelerate the adoption of advanced vision, audio, speech, and data-driven use cases. Applications are available for a wide range of sectors, including industrial automation, healthcare, smart mobility, and retail.
In time, the App Hub will give OEMs, system integrators, developers, and data scientists access to over 150 AI and ML applications for a growing number of use cases, including:
- Quality control
- Industrial safety
- Surveillance
- Predictive Maintenance
- Anomaly Detection
- Large language models (LLM)
- Natural language processing (NLP)
- Security and identification
- Optical character recognition (OCR) within scenery
Customers can search for, optimize, validate, and quickly deploy relevant models, ensuring they have the best solution for their needs. Users can browse, search, and filter apps by use case, industry, or hardware. Once they’ve found a potential application, developers can access its page to review details that include:
- Model type
- Framework
- Performance benchmarks
- Algorithms
- Supported devices/chipsets
- Use cases
The Application Hub also features a comprehensive AI toolkit, including a library of advanced software containers, sample applications, and deployment guides. However, the clear advantage of SECO’s App Hub over other AI marketplaces is the consideration of the entire solution stack, which today includes:
- Chipsets from Intel, NXP, and Qualcomm
- SECO modules based on those chipsets, and even
- Benchmarks of a particular model against a variety of modules and chipsets (See fig. 1)
In the future, the App Hub will also contain chipsets and modules from SECO partners MediaTek and AMD.
Application Hub Examples
Instead of struggling to contend with hardware fragmentation and the specter of vendor lock-in, users can now leverage the App Hub to choose the best hardware for each use case. In the long term, this also means less time integrating edge AI solutions stacks and managing their infrastructure.
Each application may also include resources such as deployment guides and repositories. To give you an idea of what to expect, a few sample applications from the App Hub are listed below.
- Automated Quality Inspection with Vision AI — Real-time AI-powered vision system released by SECO to help industrial organizations detect surface defects and pattern deviations, particularly in the manufacturing sector.
- YAMNet for Environmental Sound Classification — Built on the LiteRT framework and trained on Google’s AudioSet, this real-time environmental sound classifier is optimized for low-powered edge devices.
- Speech-to-Text – Whisper TensorFlow — Using Whisper architecture, Open AI’s speech recognition model supports streaming inference for edge deployment and is compatible with both real-time audio and long-form dictation.
- LLM – Local Chatbot with Intel® OpenVINO — Optimized for private, real-time conversations, this compact LLM supports conversational context, basic instruction following, and customizable knowledge domains.
SECO: Building an Ecosystem for Secure, Data-Driven Edge AI
Many OEMs have already transitioned to powerful AI-ready computing platforms. However, deploying AI at the edge is no longer just a matter of finding the right hardware.
Today, developing and integrating AI models into applications that run on that hardware takes most of the time and cost an engineering organization spends building AI solutions. Of course, the right tools can help AI development teams overcome limitations to bridge the hardware-software divide and streamline application development.
The SECO App Hub is a fast-growing marketplace of validated solutions that provides a cost-effective way of simplifying integration, streamlining deployment, addressing hardware fragmentation, and accelerating time to market. Backed by industry partnerships such as Nayax, Exein, Axelera AI, and NXP, the App Hub is integrated with Clea —SECO’s cloud-based, secure framework for remotely managing, updating, and orchestrating IoT devices and edge AI. A deploy button with the App Hub gives users instant access to a personal 90-day trial of one Clea instance.
AI, computer vision, and machine learning can transform how organizations streamline operations, lower costs, and stay ahead of the competition—but only if you have the right tools for the job.
Discover more. Explore the SECO Application Hub at https://apphub.seco.com.