EDGEMATRIX and NTT DOCOMO deliver AI at the edge
Leading Japanese telecommunications firm NTT DOCOMO, together with startup EDGEMATRIX, is harnessing the power of 5G to support artificial intelligence-enabled video, real-time analytics and, ultimately, the next step in the evolution of the modern smart city.
Founded under the roof of Silicon Valley tech firm Cloudian, EDGEMATRIX has grown into a cutting edge startup based in Japan. NTT DOCOMO has been a shareholder in the company since 2019, having spent the past two years jointly developing and commercialising EDGEMATRIX's revolutionary edge-AI platform using high-speed, high-capacity, low-latency 5G technology. NTT DOCOMO, together with EDGEMATRIX, launched a world-first edge AI platform for intelligent video analytics, enabling high resolution, high security, and real-time video using AI.
Courtesy of EDGEMATRIX
The platform simplifies, manages and oversees the implementation and integration of AI at the edge, which captures, analyses and stores video close to where it is captured in industrial and retail settings, "on location at factories, buildings and other outdoor and indoor locations." The solution is also used in social infrastructure such as roads, railroads, and long-term care facilities for safety monitoring and anomaly detection.
Using Edge AI Box, a compact indoor and outdoor device equipped with a GPU for deep learning-based AI and a communication module (WiFi/LTE/5G) together with various interfaces such as camera connection, it becomes possible to process video streaming from surveillance cameras on-site (at the edge) and in real-time. EDGEMATRIX's Edge AI Boxes can be installed across a site and then monitored using the company's platform. The platform maps the locations of multiple Edge AI Box devices installed on site, monitors their operational status and enables the devices to be controlled remotely.
EDGEMATRIX's customers can use the platform to pruchase additional AI applications from a rapidly-expanding ecosystem which allow them to implement the right solution for the right situation. This simplifies the implementation and upgrade of edge AI for processing and storing video data captured with video cameras at customer premises either outdoor or indoor. Using "Edge View" feature, it is also possible to simultaneously display on the browser a large number of AI-processed real-time videos from the field.
Partnerships like this are key to NTT DOCOMO’s efforts to integrate 5G technologies into the modern enterprise.
Zaif Siddiqi, Executive Director and Global Head of NTT DOCOMO’s 5G & IoT Business Department, comments: “When you're approaching digital transformation, there's more to it than just leveraging cutting edge technologies into new customer experiences.” Unless the needs of the customer, and the underlying market forces at play, can be truly understood, “5G doesn’t mean anything,” he explains, adding that in order to find the right contexts for deployment, “Selection of the right partners is extremely important to delivering on the potential value of 5G.”
Chinese Firm Taigusys Launches Emotion-Recognition System
In a detailed investigative report, the Guardian reported that Chinese tech company Taigusys can now monitor facial expressions. The company claims that it can track fake smiles, chart genuine emotions, and help police curtail security threats. ‘Ordinary people here in China aren’t happy about this technology, but they have no choice. If the police say there have to be cameras in a community, people will just have to live with it’, said Chen Wei, company founder and chairman. ‘There’s always that demand, and we’re here to fulfil it’.
Who Will Use the Data?
As of right now, the emotion-recognition market is supposed to be worth US$36bn by 2023—which hints at rapid global adoption. Taigusys counts Huawei, China Mobile, China Unicom, and PetroChina among its 36 clients, but none of them has yet revealed if they’ve purchased the new AI. In addition, Taigusys will likely implement the technology in Chinese prisons, schools, and nursing homes.
It’s not likely that emotion-recognition AI will stay within the realm of private enterprise. President Xi Jinping has promoted ‘positive energy’ among citizens and intimated that negative expressions are no good for a healthy society. If the Chinese central government continues to gain control over private companies’ tech data, national officials could use emotional data for ideological purposes—and target ‘unhappy’ or ‘suspicious’ citizens.
How Does It Work?
Taigusys’s AI will track facial muscle movements, body motions, and other biometric data to infer how a person is feeling, collecting massive amounts of personal data for machine learning purposes. If an individual displays too much negative emotion, the platform can recommend him or her for what’s termed ‘emotional support’—and what may end up being much worse.
Can We Really Detect Human Emotions?
This is still up for debate, but many critics say no. Psychologists still debate whether human emotions can be separated into basic emotions such as fear, joy, and surprise across cultures or whether something more complex is at stake. Many claim that AI emotion-reading technology is not only unethical but inaccurate since facial expressions don’t necessarily indicate someone’s true emotional state.
In addition, Taigusys’s facial tracking system could promote racial bias. One of the company’s systems classes faces as ‘yellow, white, or black’; another distinguishes between Uyghur and Han Chinese; and sometimes, the technology picks up certain ethnic features better than others.
Is China the Only One?
Not a chance. Other countries have also tried to decode and use emotions. In 2007, the U.S. Transportation Security Administration (TSA) launched a heavily contested training programme (SPOT) that taught airport personnel to monitor passengers for signs of stress, deception, and fear. But China as a nation rarely discusses bias, and as a result, its AI-based discrimination could be more dangerous.
‘That Chinese conceptions of race are going to be built into technology and exported to other parts of the world is troubling, particularly since there isn’t the kind of critical discourse [about racism and ethnicity in China] that we’re having in the United States’, said Shazeda Ahmed, an AI researcher at New York University (NYU).
Taigusys’s founder points out, on the other hand, that its system can help prevent tragic violence, citing a 2020 stabbing of 41 people in Guangxi Province. Yet top academics remain unconvinced. As Sandra Wachter, associate professor and senior research fellow at the University of Oxford’s Internet Institute, said: ‘[If this continues], we will see a clash with fundamental human rights, such as free expression and the right to privacy’.