Cutting-edge AI technology lineup, NEC the WISE, accelerating digital transformation
NEC has long been focusing our efforts on AI (artificial intelligence)-related study. To meet various social and business needs, we have been developing and providing a wide variety of AI technologies. NEC deals with every situation flexibly and speedily by combining these various AI technologies.
These AI technologies digitize the real world to create material information to be analyzed by AI.
Digitization and improvement of data quality
Removing noise, supplementing unclear information in the data obtained from the real world, and eliminating the potential for bias
|Sharpening images||The technology that improves the visibility of surveillance footage taken at night, under poor weather conditions such as fog or mist, and from long distances to achieve 24-hour real-time surveillance of large areas|
|Learning-based super-resolution technology||This technology restores grainy low-resolution images into clearer high-resolution images.|
|Micro-sized Identifier Dot on Things||The technology that enables individual dots, which are written on the surface of various objects with an off-the-shelf pen and captured by a camera, to be identified (Tiny patterns in the ink of individual dots, which are difficult to identify with the naked eye, are captured and dots are identified one by one.)|
|Rare event discovery technology||The technology that can quickly discover the occurrence conditions of faulty events, which are difficult to detect due to their extreme rarity. These rare events are caused by countless combinations of conditions, which AI can identify by efficiently repeating simulations while it learns.|
Identification and authentication using the five senses
Identifying and authenticating humans and things
|Ear acoustic authentication||Biometric authentication technology using sound to identify the shape of the ear canal, which varies from person to person|
|Optical vibration sensing||The world’s first technology that makes it possible to estimate deterioration inside a structure by capturing images|
|Speech recognition and emotion recognition||Text-to-speech conversion technology that is resistant to noise and doubles speed and increases accuracy within natural conversation, and emotion analysis technology that automatically judges the emotions such as anger of speakers from the volume, pitch, and tone of their voices or a change in them|
These AI technologies make predictions by gaining insight into intentions and internal states of real-world events by utilizing the data generated through the process of visualization.
Understanding of meaning or intention
Making predictions of meaning or intention
|Crowd behavior analysis||The world's first technology to detect anomalies in crowded environments from changes in the movement of the entire crowd|
|Profiling across spatio-temporal data||In combination with NEC's face recognition technology, extracts specific individuals at high speed according to their appearance patterns from the vast amounts of image data.|
|Customer profile estimation||Automatically estimates detailed customer profiles on individual customers, including their interests and preferences to a high level of precision, without the involvement of marketing experts.|
|Acoustic situation awareness||This technology uses both of constituent sound extraction technology to divide sounds collected by a microphone into target sounds and ambient noise, then extract fine constituent sounds from the target sounds, and event classification technology to discern the occurrence (or non-occurrence) of an event based on the combination patterns of constituent sounds.|
|Data understanding with semantic technology||This technology automates, at high speed and high quality, the consolidation of multiple tabular data from different fields and industries, a task that conventionally takes experts a significant amount of time to perform.|
Analysis with interpretation
Providing easy-to-understand reasons for predictions
|Log pattern analytics||Extracts and learns log patterns from logs of various systems or devices.|
|Predictive analytics automation technology||Automates the series of processes for predictive analytics, from the extraction and design of a data item (feature) that is effective for analysis, to the creation of the most suitable predictive model.|
|Graph-based relational learning||Machine learning technology to model attributes or relationships of entities, using a graph-based structure data, which consists of nodes representing data points and edges between these nodes representing their various relationships|
|Time-series data model free analysis technology||This technology enables instant matching of and finding similarities between present and past time-series data such as sensor values.|
|Causal analysis||Estimates causal relationships among things through various types of observation data and automatically discovers the "why."|
Machine learning such as deep learning enables high precision prediction of the future.
These AI technologies find the best solutions for issues based on predictions, and support device control and human decision-making.
Planning and optimization
|Predictive robust optimization framework||Makes advanced decisions, such as the formation of strategies and plans that would conventionally be carried out by humans, through software that utilizes predictions created by NEC's heterogeneous mixture learning technology.|
|Intention learning (Press releases >)||This technology learns intentions from the decision-making history of various experts, making it possible to automate decision-making tasks that would normally depend on a human expert.|