Neuroview is an international AI company founded in 2024, the product was in development since 2018 by team of deep machine learning scientists, machine vision engineers and excellent software developers. We’re located in Europe and have clients all around the globe. Our team has saturate background of Artificial Intelligence system development, Industrial 4.0 solutions, biometric identification and computer vision technologies for public security, corporate safety, media, finance, retail, marketing and other industries. We like to invent algorithms that work in unconstrained real-life scenarios
Detection. Recognition. Analysis.
Data value with video analytics
Emotion Analysis
Fast and accurate recognizing 6 emotions detection: Happiness, Sadness, Surprise, Anger, Fear, and Disgust. It can detect neutral face, Opened and closed eyes. These emotions are understood universally with particular facial expressions.
Object Detection
Object detection algorithms typically use extracted features and learning algorithms to recognize instances of an object category. More than 20000 object classes recognition including: people, vehicles, guns, helmets, attire, furniture, appliance, electronics and so on.
Object Tracking
Taking an initial set of object detections and create unique ID for each initial detection then tracking each of the objects as they move around frames in a video while maintaining the assignment of unique IDs. Detecting and recording tracks of vehicles, people or objects through the multiple cameras or video streams.
Scenes & Activities Analysis
The main goal of video analytics is scene analytics qualifies the motion as an object, understands the context around the object, and is able to track the object through the scene. Detection of people crowding, flying drones, fire or smoke, crossing lines, abandon bags and many other throughout the day and nighttime.
Text Recognition
Text recognition led with accuracies while still being computationally efficient. We train it by cast it as a sequence prediction problem, where the input is the image containing the text to be recognized and the output is the sequence of characters in the word image. Extraction and recognition of the text from car plates, signs, badges, video streams in more than 200 fonts and 164 languages.
USE CASES
Agriculture
Business Centre
The rise of new digital industrial technologies entails the transformation of traditional business to fast pace digitalize business. From old fashion manual registering each employee and visitor into the system to quick access through face recognition. This helps business to manage their workforce time and attendance, employee/visitor schedules & access, reduce labor compliance risks and get control of their source to gross pay with advanced visibility. It will give an overall summary for the management to analyze and control turnover which is one of the many quantitative ways the business can affect the bottom line.
Casino
Events
Education
Finance and Banking
Healthcare
Hospitality
Manufacturing
Public Safety
Retail
Digital transaction in the palm of people hand with technology radically altering the way consumers or retail provider take care of their financial needs and conduct business. Understanding the unique needs of individual customer and employee performance for advocacy in any retail business. Providing a secure environment by having thieves identification using biometric database, pilferage prevention, unauthorized access, and detecting armed robbery gives customers collective security.
Transportation & Borders
FEATURES
Our unique face recognition neural network operates with an error rate as low as 1 in 1,000,000. With a test dataset of 10.000 unique people, its identification accuracy rate is up to 99.7% and its biometrics verification accuracy rate is up to 99.9%, which means the system can be used for every face recognition task.
Our networks runs up to 100 times faster than competitive neural networks without losing accuracy. We pay attention to constantly upgrading our networks to run even faster.
Our face recognition algorithm handles millions of different faces. The NEUROVIEW unique proprietary index engine is able search through billions of photos in less than a 0.1 sec. Face detection takes from 200 ns. Extraction of biometric personal characteristics takes about 500 nanos.