If you are looking for a secure Linux powered robot you may be interested in the third generation of the Iris personal robot which is this month launched via Kickstarter to raise the required funds needed to make the jump into production. Functioning completely off-line the personal robot can stay safe from exploitation from third parties and allows you to learn more about robotics and programming.
Features include object recognition, pattern matching and the system comes with a complete training course. Watch the demonstration video below to learn more about the Iris v3. Earlybird pledges are available from $369 for the first five lucky Kickstarter backers after which the price will increase to $399. Worldwide shipping is expected to take place during March 2020.
Hardware components inlcude :
– 2x 5 Megapixel Omnivision OV5647 in a fixed-focus lens. https://cdn.sparkfun.com/datasheets/Dev/RaspberryPi/ov5647_full.pdf
– 5x HC-SR04 Ultrasonic sensors to help with short range navigation, cliff detection, distance calculations, and low level scanning.
– x2 40mm Brushless Cooling Fans
– 2x LX-16A Full Metal Geared servos, allowing for pan/tilt of the head/cameras.
– 1x PureAudio Array Microphone, it has 2 mics built in, allowing for directional awareness.
– Power Provided by 6500 mAh Battery, paired with Sleepy Pi 2, this prevents any possible corruption.
– 5″ Touchscreen Display, Allowing for easy menu access, emotional display, quick access to settings and if needed, troubleshooting.
“Iris is the first personal robot that runs entirely offline, while still being able to talk with people, recognize faces, objects, and her environment. Built from the ground up to be secure and long lasting, she uses her dual cameras and 5 ultrasonic sensors to explore and learn about the world around her. 2 Microphones allow Iris to know the general direction of voices, and understand them as clearly as possible. “
“Iris is capable of several different types of tracking, these include but are not limited to: Object Tracking, Color Tracking and Facial Tracking. Tracking can be used to follow something or someone, or help bring something of interest into view. She can also dynamically shift between tracking and recognition. Recognition differs from tracking in a few aspects. Recognition is centered around learned objects and faces. She is able to identify the specific object or face instead of just knowing one is there.”
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