Download PDF version Contact company

Recently, the facial recognition technology team from Dahua Technology presented their results for Labeled Faces in the Wild (LFW), which is a worldwide authoritative facial recognition database test set. With a series of technical improvements, the Dahua FaceImage facial recognition system was not only ahead of Google, Facebook, Baidu, and Tencent, it also set a new LFW record and placed Dahua's facial recognition technology in a world leading position.

Improving facial recognition

LFW was established in 2007 by the University of Massachusetts and is used to evaluate the performance of facial recognition algorithms under unconstrained conditions. It is the most widely used evaluation set in the field of facial recognition. Up until now, a few dozen teams from around the globe have provided more than 80 test results. These teams come from companies including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++, Chinese University of Hong Kong, and other leading teams from industry and academia. Many of the top-ranking methods have played a crucial role in promoting the development of facial recognition technology.

In recent years, most of the
improvement in facial recognition
technology was achieved by the
development of deep learning

In recent years, most of the improvement in facial recognition technology was achieved by the development of deep learning. Deep learning is a machine learning approach that simulates the human neural system. The functions of Convolutional Neural Networks (a commonly used deep learning model) are closely related to network depth. However, since deep networks are difficult to optimise, the network depth for facial recognition methods of the past generally ranges from a few to a few dozen layers.

High accuracy

Dahua's facial recognition technology team has designed a network with a depth of over a hundred layers (this is currently the deepest network layer amongst facial recognition system that has been announced). This enables a new type of metric learning method which allows the similarity score to be higher for images of the same person. At the same time, it lowers the similarity score between images of two different people. Combined with a highly efficient online sampling technique, the rate of convergence can also be greatly increased. By training multiple models and using a non-linear multi-model integration technique, Dahua has achieved an accuracy of 99.78% for the LFW dataset.

Dahua's facial recognition technology team is part of the advanced technology research institute in their R&D centre

Dahua's facial recognition technology team is part of the advanced technology research institute in their R&D centre, where its abundant resources in deep learning technology, hardware, data and other aspects, supported the team to deliver high performance outcome. The team supports Dahua's facial recognition related products (face detection, face feature point location, face recognition, face attribute analysis, smile detection and so on) and provides the technology to ensure robust commercial implementation.

Implementation in real-life situations

Spokesperson for the Dahua facial recognition technology team, Professor Wang Haiyang indicated that achieving high accuracy in open data sets had motivated his team to work on the more challenging implementation in real-life situations. Dahua has been a leader in the security and video surveillance industry for many years, and accumulated a huge volume of video data. By utilising this data to adjust the learning model, the performance of the algorithm in real-life situations has been greatly improved.

Furthermore, the security application requires the recognition algorithms to respond quickly. The technical team used network pruning and a multi-model feature sharing technique to greatly reduce redundant operations so that the amount of calculations required for networks with over a hundred layers is similar to that for networks with only a few dozen layers.

At the latest G20 summit, Dahua's facial recognition technology was successfully applied to enhance the security level

Application areas

Dahua's facial recognition technology has already been applied to public security, finance, and other areas. At the latest G20 summit, which has been at the centre of attention, Dahua's facial recognition technology was successfully applied to enhance the security level. Dahua cameras were deployed in core G20 activity areas and in many traffic hubs. Real-time images captured were automatically matched with security blacklists in the back-end. When a high-risk person showed up in the video, the system will issue a warning message to command centre to dispatch response immediately.

This system played an important role during the G20 summit and assisted police in arresting a number of fugitives while the system was still in its commissioning phase. Customer oriented and open innovation have been the core value of Dahua Technology. Dahua's facial recognition technology reflects its commitment to provide customers with better technology and services to implement more sophisticated solutions at lower costs.

Download PDF version Download PDF version

Dahua Technology Ltd news

Dahua Technology and Yeastar announce their new ECO partnership on PBX-Intercom integration

Dahua Technology, a video-centric smart IoT solution and service provider, and Yeastar, the provider of SME PBX systems, jointly announce their new ECO partnership on PBX-Intercom integration. The two top-notched companies aim to provide a comprehensive and unified communication solution for Small and Medium-sized Enterprises (SMEs), allowing mutual customers to benefit from visual intercom, remote access control, integrated video conferencing, instant messaging, file sharing, multi-client mana...

Dahua Technology unveils DeepHub smart interactive whiteboard for efficient and collaborative video conferencing

Dahua Technology, a video-centric smart IoT solution and service provider, is introducing its Dahua DeepHub Smart Interactive Whiteboard – an IFPD (Interactive Flat Panel Display) device designed for modern meeting rooms and remote communication demands. Based on customer needs of digital transformation, Dahua Technology has been exploring the video conferencing market for years and has utilised its technological innovation capability to equip Dahua DeepHub with a user-friendly...

Dahua explains 3 things to know about WDR

Scenario: One needs to install a camera in the lobby of a building to capture the entrance area. Problem: The area has a lot of windows which overexposes the image, making it difficult to capture the people coming in and out of the premises. Solution: A security camera with a good Wide Dynamic Range (WDR). What WDR does? Dynamic range refers to the ratio between the largest and smallest measurable quantities of something. In the case of video surveillance, the dynamic range measures the rati...

Dahua Technology Ltd case studies

Dahua Technology shows how intelligent cameras enhance safety in nursing homes

Patient falls in nursing homes are a serious problem. In the United States, for example, around 1,800 elderly people, living in nursing facilities, die each year from injuries related to falls, according to the Nursing Home Abuse Center. Those patients who survive their injuries often have a reduced quality of life and suffer some form of permanent disability. Rise in nursing home patient falls Figures show that between 50% and 75% of nursing home residents suffer falls each year, twice the c...

Dahua Technology provides CCTV cameras to enhance VMS at the Autodromo Internazionale Enzo e Dino Ferrari di Imola

The Autodromo Internazionale Enzo e Dino Ferrari di Imola is a legendary place for every motoring enthusiast. Since 1953, the Emiliano-Romagnolo circuit is the beating heart of a land historically tied to speed and scene of epic sporting achievements and beyond. “A small Nürburgring, with same technical and spectacular resources and an ideal track length,” says Drake Enzo Ferrari, Founder of the iconic racing team and automotive company and to whom the autodrome was named after...

Dahua Technology releases full-colour 2.0 network cameras with 4K vari-focal lens and AI features

With constant development in the modern society, continuous innovation is of paramount importance in order to address the diverse needs of customers. Dahua Technology, a video-centric smart IoT solution and service provider, recently released its upgraded full-colour 2.0 network cameras that offer brand new functions – including dual-lens, 4K colour image, vari-focal lens, and AI features – that can significantly optimise surveillance monitoring and greatly benefit end users in term...