"machine vision" entries
A software startup builds itself to work with Michigan's manufacturers.
Nathan Oostendorp thought he’d chosen a good name for his new startup: “Ingenuitas,” derived from Latin meaning “freely born” — appropriate, he thought, for a company that would be built on his own commitment to open-source software.
But Oostendorp, earlier a co-founder of Slashdot, was aiming to bring modern computer vision systems to heavy industry, where the Latinate name didn’t resonate. At his second meeting with a salty former auto executive who would become an advisor, Oostendorp says, “I told him we were going to call the company Ingenuitas, and he immediately said, ‘bronchitis, gingivitis, inginitis. Your company is a disease.'”
And so Sight Machine got its name — one so natural to Michigan’s manufacturers that, says CEO and co-founder Jon Sobel, visitors often say “I spent the afternoon down at Sight” in the same way they might say “down at Anderson” to refer to a tool-and-die shop called Anderson Machine.
Sight Machine is adapting the tools and formulations of the software industry to the much more conservative manufacturing sector. Changing its name was the first of several steps the company took to find cultural alignment with its clients — the demanding engineers who run giant factories that produce things like automotive bolts. Read more…
Who will pay damages when a driverless car gets into an accident?
Megan McArdle has taken on the question of how liability might work in the bold new world of driverless cars. Here’s her framing scenario:
Imagine a not-implausible situation: you are driving down a brisk road at 30 mph with a car heading towards you in the other lane at approximately the same speed. A large ball rolls out into the street, too close for you to brake. You, the human, knows that the ball is likely to be followed, in seconds, by a small child; you slam on the brakes (perhaps giving yourself whiplash) or swerve, at considerable risk of hitting the other car.
What should a self-driving car do? More to the point, if you hit the kid, or the other car, who gets sued?
The lawyer could go after you, with your piddling $250,000 liability policy and approximately 83 cents worth of equity in your home. Or he could go after the automaker, which has billions in cash, and the ultimate responsibility for whatever decision the car made. What do you think is going to happen?
The implication is that the problem of concentrated liability might make automakers reluctant to take the risk of introducing driverless cars.
I think McArdle is taking a bit too much of a leap here. Automakers are accustomed to having the deepest pockets within view of any accident scene. Liability questions raised by this new kind of intelligence will have to be worked out — maybe by forcing drivers to take on the liability for their cars’ performance via their insurance companies, and insurance companies in turn certifying types of technology that they’ll insure. By the time driverless cars become a reality they’ll probably be substantially safer than human drivers, so the insurance companies might be willing to accept the tradeoff and everyone will benefit. Read more…
Ford's OpenXC platform opens up real-time drivetrain data.
OpenXC (Ford Motor) — Ford has taken a significant step in turning its cars into platforms for innovative developers. OpenXC goes beyond the Ford Developer Program, which opens up audio and navigation features, and lets developers get their hands on drivetrain and auto-body data via the on-board diagnostic port. Once you’ve built the vehicle interface from open-source parts, you can use outside intelligence — code running on an Android device — to analyze vehicle data.
Of course, as outside software gets closer to the drivetrain, security becomes more important. OpenXC is read-only at the moment, and it promises “proper hardware isolation to ensure you can’t ‘brick’ your $20,000 investment in a car.”
Still, there are plenty of sophisticated data-machine tieups that developers could build with read-only access to the drivetrain: think of apps that help drivers get better fuel economy by changing their acceleration or, eventually, apps that optimize battery cycles in electric vehicles.
Drivers with Full Hands Get a Backup: The Car (New York Times) — John Markoff takes a look at automatic driver aides — tools like dynamic cruise control and collision-avoidance warnings that represent something of a middle ground between driverless cars and completely manual vehicles. Some features like these have been around for years, many of them using ultrasonic proximity sensors. But some of these are special, and illustrative of an important element of the industrial Internet: they rely on computer vision like Google’s driverless car. Software is taking over some kinds of machine intelligence that had previously resided in specialized hardware, and it’s creating new kinds of intelligence that hadn’t existed in cars at all. Read more…