SECO has introduced a new suite of Edge AI applications designed to enhance capabilities in safety monitoring, low-power machine vision, geospatial analysis, and intelligent video understanding for industrial and embedded environments. This release expands SECO’s existing ecosystem of production-ready AI solutions.
One of the new applications is Land-Cover Change Detection, an advanced computer vision tool. It processes satellite or aerial imagery to automatically identify and map changes in land cover, such as urbanization or deforestation. This feature is intended for use in environmental monitoring, ecological impact assessments, and sustainable urban planning.
The company is also moving into speech-driven workflows with Wave2Vec – Speech-to-Text, a high-accuracy transcription application. Optimized using the Wave2Vec model, it converts audio into text and supports applications like automated documentation in industrial and healthcare sectors, as well as voice-controlled operations in complex settings.
For energy-constrained devices, the Object Detection – Low Power on Edge application provides an energy-efficient object detection capability. It is specifically designed for Edge platforms where battery life, portability, and thermal efficiency are critical, enabling real-time recognition of objects, people, or events.
A new safety-focused application is Human Fall Detection. This AI vision application uses advanced models to detect human falls in real time. It is intended for high-risk industrial settings or elderly care, enabling automated alerts for immediate response.
SECO is also broadening its video analytics offering with Video Action Recognition, a deep learning application that analyzes video sequences to classify and recognize complex human actions. The application is designed to support staff training, operational safety, and workflow analysis across sectors like manufacturing and retail.
The update is rounded out by Face ID – Training Experience, which provides a customizable environment for training and fine-tuning Face Recognition (Face ID) models. This enables the validation, creation, and optimization of identity-verification solutions directly on the target hardware.
All new applications are validated for deployment across platforms powered by various chip architectures, including Intel, NXP, Qualcomm, AMD, MediaTek, and Rockchip. The solutions are supported by SECO’s enterprise-grade Long-Term Support, ensuring smooth integration, stability, and security within the company’s hardware ecosystem.
Fausto Di Segni, Head of IoT and AI at SECO, commented on the release, stating: “With these additions, we continue to make advanced AI capabilities accessible on a wide range of edge devices. Each new model responds to concrete needs we see in the field — from energy efficiency to real-time safety — and helps customers accelerate deployment.”
