Lifeboat Foundation

STOCKHOLM (GomSpace PR) — As part of a mission to demonstrate interlink communication on nanosatellite tandem formation flights and data retrieval, including surveillance of the Arctic area, the Danish nanosatellite specialist GomSpace launched two nanosatellites in February.

Twelve weeks later, GomSpace for the first time showed the possibility of live data capture from the two nanosatellites in space at a press conference held in Aalborg, Denmark. At the same time, the press conference marked the official transition to the so-called demonstration phase, following the mission’s test phase. The latter has thus been successfully completed, and the mission is now ready to carry out its scheduled tasks.

On February 2, 2018, GomSpace launched two nanosatellites mounted on the Chinese missile Long March 2D from a launch station in the Gobi Desert. The objective of the two nanosatellites, based on GomSpace’s 6U platform, is in part to monitor the Arctic area. It is an area where ice has melted significantly in recent years, meaning that the area sees more and more activity in the shape of aircraft and ships, researchers and tourists.

Continue reading “GomSpace Successfully Commissions GOMX-4 Nanosats” »

Army researchers have developed an artificial intelligence and machine learning technique that produces a visible face image from a thermal image of a person’s face captured in low-light or nighttime conditions. This development could lead to enhanced real-time biometrics and post-mission forensic analysis for covert nighttime operations.

Thermal cameras like FLIR, or Forward Looking Infrared, sensors are actively deployed on aerial and ground vehicles, in watch towers and at check points for surveillance purposes. More recently, thermal cameras are becoming available for use as body-worn cameras. The ability to perform automatic face recognition at nighttime using such thermal cameras is beneficial for informing a Soldier that an individual is someone of interest, like someone who may be on a watch list.

The motivations for this technology—developed by Drs. Benjamin S. Riggan, Nathaniel J. Short and Shuowen “Sean” Hu, from the U.S. Army Research Laboratory—are to enhance both automatic and human-matching capabilities.

Artificial intelligence is being used for a dizzying array of tasks, but one of the most successful is also one of the scariest: automated surveillance. Case in point is Chinese startup SenseTime, which makes AI-powered surveillance software for the country’s police, and which this week received a new round of funding worth $600 million. This funding, led by retailing giant Alibaba, reportedly gives SenseTime a total valuation of more than $4.5 billion, making it the most valuable AI startup in the world, according to analyst firm CB Insights.

This news is significant for a number of reasons. First, it shows how China continues to pour money into artificial intelligence, both through government funding and private investment. Many are watching the competition between China and America to develop cutting-edge AI with great interest, and see investment as an important measure of progress. China has overtaken the US in this regard, although experts are quick to caution that it’s only one metric of success.

Secondly, the investment shows that image analysis is one of the most lucrative commercial applications for AI. SenseTime became profitable in 2017 and claims it has more than 400 clients and partners. It sells its AI-powered services to improve the camera apps of smartphone-makers like OPPO and Vivo; to offer “beautification” effects and AR filters on Chinese social media platforms like Weibo; and to provide identity verification for domestic finance and retail apps like Huanbei and Rong360.

Continue reading “The world’s most valuable AI startup is a Chinese company specializing in real-time surveillance” »

O n the outskirts of Beijing, a policeman peers over his glasses at a driver stopped at a motorway checkpoint. As he looks at the man’s face, a tiny camera in one of the lenses of his glasses records his features and checks them with a national database.

The artificial intelligence-powered glasses are what Chinese citizens refer to as “black tech”, because they spot delinquents on the country’s “blacklist”. Other examples include robots for crowd control, drones that hover over the country’s borders, and intelligent systems to track behaviour online. Some reports claim the government has installed scanners that can forcibly read information from smartphones.

In the last two weeks, Facebook has been mired in a privacy storm in the UK and US over potential misuse of personal data. But such an event might baffle many in China, where the country’s surveillance culture eclipses anything Facebook has done.

Continue reading “No-limits China sets its sights on AI top spot” »

Autonomous weapon bans (previously) are currently being debated, but in the meantime, the US Department of Defense continues work with its Perdix Micro-Drone project. Ostensibly for surveillance, it’s clear these could easily be modded with lethal weaponry.

F/A-18 Super Hornets deploy the drones, which can then perform a series of tactical maneuvers based on post-launch commands.

A security company wants to modernize the “backward-looking” and “inherently inefficient” video surveillance industry by offering a blockchain-based system which allows users to react to threats in real time.

Faceter’s decentralized surveillance technology – which it claims is a world first for consumers – “gives brains to cameras” by enabling them to instantly detect faces, objects and analyze video feeds. Although some B2B providers do offer similar features, the company claims they are currently too expensive for smaller firms and the public at large because of the “substantial computing resources” such technology needs.

According to Faceter’s white paper, Blockchain has the potential to make this solution affordable for everyone – as computing power for recognition calculations would be generated by a network of miners.

Continue reading “This blockchain-based surveillance startup detects crime in real-time” »

I’m excited to share a new article of mine via The Daily Dot on the future of so-called “gun control,” one that promises freedom and protects people from criminals and mass shooters. As usual, the answer is in technology to improve the world—and not in Congress changing or creating laws. This is a policy article of mine, and this is the technology you could expect to see in California if I was elected Governor:

High-tech drones and surveillance technology can offer a radically new type of gun control, helping detect possible the presence of guns and intervene in mass shootings.

Imagine a police car that issues tickets without even pulling you over.

What if the same car could use artificial intelligence to find good hiding spots to catch traffic violators and identify drivers by scanning license plates, tapping into surveillance cameras and wirelessly accessing government records?

What if a police officer tapping on your car window asking for your license and registration became a relic of transportation’s past?

Continue reading “Ford patents driverless police car that ambushes lawbreakers using artificial intelligence” »

DARPA has a new surveillance program in the works, and it doesn’t involve training human agents or AI operators. Instead, the research arm of the U.S. Department of Defense wants to genetically engineer plant-based sensors as battlefield spy tech.

The Defense Advanced Research Projects Agency (DARPA), the think-tank that’s under the U.S. Department of Defense, recently announced that it’s working on a new project that could change how pertinent information is gathered on the battlefield. The project, dubbed the Advanced Plant Technologies (APT) program, examines the possibility of turning plants into next-generation surveillance technology.