ErgoAI Server Human Factors Intelligent Edge Server

NegotiableUpdate on 01/18

Model

Nature of the Manufacturer: Producers

Product Category

Place of Origin

Online Consult

Overview

ErgoAI Human Factors Intelligent Edge Server is a high-performance device with powerful computing and data processing capabilities, capable of processing multi-source human factors data including EEG, ECG, EMG, etc. It uses advanced algorithms to provide in-depth insights, supports AI model training and deployment, optimizes human-computer interaction and product design, and improves work efficiency.

Product Details

ErgoAI human factor intelligent edge server is a high-performance edge computing device with powerful computing power, data processing capacity and covering multi-source human factor data. This device has efficient data collection, storage, and analysis capabilities, capable of processing multiple data sources including electroencephalography, electrocardiography, electromyography, brain imaging, blood oxygen, pulse, biomechanics, images, videos, sounds, temperature and humidity, air pressure, etc. Putting people at the center, combining the three elements of human, machine, and environment, and objectively quantifying their impact relationships to enhance the infinite possibilities of research. This device adopts advanced algorithms and technologies, capable of performing up to 3958 trillion operations per second for data analysis and inference. These algorithms and technologies include machine learning, deep learning, data mining, signal processing, data visualization, and statistical analysis. Through the processing and analysis of multi-source data, ErgoAI can provide in-depth insights to help users understand human-computer interaction effects, work environment impacts, and optimize product design. In addition to data collection and processing functions, ErgoAI human factor intelligent edge computing server also provides flexible AI human factor intelligent model training and deployment application interfaces. Users can easily use edge green servers to conduct model training verification, and quickly deploy various human factor intelligent applications, such as personnel fatigue, stress, design evaluation models, to solve practical problems and improve work efficiency.

Product Features

Compatible with any human factors data source: EEG EEG, fNIRS near-infrared, ECG electrocardiogram, EMG electromyography, RESP respiration, Spo2 blood oxygen, HRV heart rate variability, Motion motion data, behavioral data, voice data, video data, vehicle data, image data, etc., expandable to any data source.

The computing power of a single core module can reach up to 3958 trillion operations per second, capable of processing large amounts of data and complex computing tasks at ultra-high speeds.

Suitable for multiple concurrent AI inference pipelines, which means that inference tasks for multiple AI models can be processed simultaneously.

The high-speed interface supports multiple sensors and can receive real-time data from various sensors, such as physiological sensors, neuroscience sensors, cameras, sound sensors, radar, etc., thus supporting a wider range of application scenarios, such as intelligent transportation systems, intelligent manufacturing, etc.

Support the customization of the entire process of training and prediction for human factors intelligence models, such as fatigue assessment warning models, stress assessment warning models, multimodal fusion comprehensive effectiveness evaluation models, etc.

The system supports rapid model deployment and engineering applications, such as laboratory environment deployment, vehicle environment deployment, and intelligent cockpit environment deployment applications.

Core Perception Technology

intelligent perception

The intelligent perception ability of ErgoAI human factor intelligent edge computing platform is reflected in its multi-modal data acquisition technology and state recognition algorithm. By integrating various sensors, including but not limited to wearable, fixed, multimodal, non-contact, and other devices. Through advanced signal processing algorithms, data filtering, noise reduction, and feature extraction are automatically performed to provide accurate perception of personnel status information.

Intelligent Interaction

ErgoAI human factor intelligent edge computing platform supports a variety of human-computer interaction modes, including brain computer interaction, voice interaction, gesture interaction, emotional interaction, eye control interaction, electromyography interaction and multimodal interaction. These interaction methods convert perception results into instructions, which can recognize and respond to the user's state, achieving a natural and intuitive interaction experience.

Intelligent Prediction

By utilizing the collected multi-source data, the ErgoAI platform can use machine learning and deep learning algorithms for intelligent prediction. For example, by analyzing physiological signals and behavioral patterns, users' fatigue status, emotional changes, workload, and stress levels can be predicted. Not only can it help improve user experience, but it can also play an important role in fields such as healthcare and safety monitoring.

Smart Display

The intelligent display function of ErgoAI human factor intelligent edge computing platform transforms complex multimodal data into intuitive charts, curves and heat maps through data visualization technology, so that users can monitor and understand their physiological status and behavior patterns in real time. Personalized settings and interactive interfaces enhance the user experience, allowing users to customize information displays based on personal preferences and needs, and interact dynamically with them.

Based on ErgoAI Human Factors Intelligence Evaluation Platform

Based on the ErgoAI Human Factors Intelligence Multi temporal Algorithm Base and Human Factors Engineering Human Machine Environment Database, a pre training model for personnel specific states is constructed. Combined with highly flexible training, a pre training model for personnel specific states is constructed based on the ErgoAI Human Factors Intelligence Multi temporal Algorithm Base and Human Factors Engineering Human Machine Environment Database. With highly flexible training program management functions, users can efficiently build and optimize models in a unified environment. Thus achieving accurate real-time assessment and warning of personnel status, such as load status, stress status, fatigue status, situational awareness, and attention ability.