A new bit of software has turned up that is both cool and a bit creepy. The software is called pix2pix and it can take a source sketch or image and then build a rough photographic representation of it.
A couple of years ago, we featured the Pixy, a compact image sensor that can tag hundreds of objects based on their color. Electronics company RobotGeek combined Pixy with a couple of its robot kits to create a small turret that automatically follows and shoots at its targets.
Even though consumer UAVs are becoming smarter and easier to use, they can still cause physical harm. Just last month a baby lost one of his eyes because he was accidentally hit by a quadcopter’s propeller.
A while back we featured a robot vehicle that was made to be driven by a parrot. This one’s meant for fishes. Image recognition specialist Studio diip made Fish on Wheels to showcase its prowess in its field.
Computers and sensors are quickly decreasing in cost and size, making it easier than ever before to build smart gadgets or robots. From accelerometers to thermal sensors, electronics nowadays can detect and record a variety of events and objects in their surroundings.
In the not-too-distant future, technology might let you check out for your purchases without any need to scan tags, enter prices, or even read RFID tags. Thanks to visual recognition technology, items being purchased could be automatically identified just by the way they look.
Hitachi’s office assistant robot EMIEW 2, has just gotten a batch of upgrades. On the outside he is still the same cute robot, but inside, some things have changed. The robot now uses the internet to help it recognize objects and it also has a database of existing image references.
It’s a common sight to see people using their mobile phones while doing a whole lot of other stuff, like when they’re shopping or grabbing a drink from the vending machine or buying lunch. While that’s definitely not ideal, at least it hurts a whole lot less when you bump into people or some display at the store instead of what could be bumping into you, if you use your mobile while you cross the street.