May 17, 2020

Startup Spotlight: Pony.ai’s autonomous cars get Toyota push

AI
automation
Electric vehicles
William Smith
2 min
As the digital transformation of the automotive industry continues at pace, companies small and large are competing to bring autonomous vehicles to market
As the digital transformation of the automotive industry continues at pace, companies small and large are competing to bring autonomous vehicles to mark...

As the digital transformation of the automotive industry continues at pace, companies small and large are competing to bring autonomous vehicles to market.

Pony.ai, a startup which has a presence in both the US and China, is one such firm. Founded in 2016 in the US by alumni from Chinese tech company (and AI specialist) Baidu, the company has been testing on public roads in the US and China since 2017.

The company has just announced a $400mn investment from Toyota, further to a partnership the two undertook last year for autonomous driving pilots in China using Pony.ai’s technology and Toyota’s vehicles.

The company has further operated a robotaxi pilot service known as PonyPilot in the city of Guangzhou, China since 2018. Pony.ai touts its use of machine learning to navigate the complex road environment. In January it announced a collaboration with ON Semiconductor on sensors including imaging, radar, LiDAR and ultrasonic sensing.

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According to Crunchbase, the additional funding takes the total amount of money raised to $726mn. Pony.ai said in its press release that it is consequently now valued at over $3bn.

The established car giants are increasingly catching up to challengers by investing in autonomous vehicle technology. While the eventual goal is an autonomous vehicle at level 5 of the Society of Automotive Engineers’ (SAE) Levels of Driving Automation Standard, representing complete autonomy at all times, that target remains a way off.

Regardless, the General Motors-backed Cruise recently unveiled an all-electric autonomous vehicle, while Mercedes-Benz and Bosch have begun an automated ride-hailing pilot. Those attempts are in some ways existential - Tesla, a firm that produces a small fraction of vehicles compared to competitors, is nevertheless the second most valuable car company, behind only Toyota, thanks to its technological approach. Toyota itself has other partnerships in the car technology space - it recently took part in a project with Panasonic to form a joint venture in the electric vehicle battery industry.

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Jun 21, 2021

ICO warns of privacy concerns on the use of LFR technology

Technology
ICO
LFR
cameras
3 min
Organisations need to justify their use of live facial recognition (LFR) is fair, necessary, and proportionate, says the Information Commissioner’s Office

Live facial recognition (LFR) technology should not be used simply because it is available and must be used for a specific purpose, the Information Commissioner’s Office (ICO) has warned.

“I am deeply concerned about the potential for live facial recognition (LFR) technology to be used inappropriately, excessively, or even recklessly. When sensitive personal data is collected on a mass scale without people’s knowledge, choice or control, the impacts could be significant,” said Elizabeth Denham, the UK’s Information Commissioner.

Denham explained that with any new technology, building public trust and confidence in the way people’s information is used is crucial so the benefits derived from the technology can be fully realised.

“It is not my role to endorse or ban a technology but, while this technology is developing and not widely deployed, we have an opportunity to ensure it does not expand without due regard for data protection,” Denham added.

The Information Commissioner’s Office has said it will work with organisations to ensure that the use of LFR is lawful, and that a fair balance is struck between their own purposes and the interests and rights of the public. They will also engage with Government, regulators and industry, as well as international colleagues to make sure data protection and innovation can continue to work hand in hand.
 

What is live facial recognition? 

Facial recognition is the process by which a person can be identified or recognised from a digital facial image. Cameras are used to capture these images and FRT software measures and analyses facial features to produce a biometric template. This typically enables the user to identify, authenticate or verify, or categorise individuals. 

Live facial recognition (LFR) is a type of FRT that allows this process to take place automatically and in real-time. LFR is typically deployed in a similar way to traditional CCTV in that it is directed towards everyone in a particular area rather than specific individuals. It can capture the biometric data of all individuals passing within range of the camera indiscriminately, as opposed to more targeted “one-to-one” data processing. This can involve the collection of biometric data on a mass scale and there is often a lack of awareness, choice or control for the individual in this process. 

 

Why is biometric data particularly sensitive?

Biometrics are physical or behavioural human characteristics that can be used to digitally identify a person to grant access to systems, devices, or data. Biometric data extracted from a facial image can be used to uniquely identify an individual in a range of different contexts. It can also be used to estimate or infer other characteristics, such as their age, sex, gender, or ethnicity.

The security of the biometric authentication data is vitally important, even more than the security of passwords, since passwords can be easily changed if they are exposed. A fingerprint or retinal scan, however, is immutable. 

The UK courts have concluded that “like fingerprints and DNA [a facial biometric template] is information of an “intrinsically private” character.” LFR can collect this data without any direct engagement with the individual. Given that LFR relies on the use of sensitive personal data, the public must have confidence that its use is lawful, fair, transparent, and meets the other standards set out in data protection legislation.

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