<thrive_headline click tho-post-19702 tho-test-33>Accelerate Deep Learning on Raspberry Pi</thrive_headline>

Accelerate Deep Learning on Raspberry Pi

Learn how we implemented Deep Learning Object Detection Models on Raspberry Pi and accelerated them with Intel Movidius Neural Compute Stick. Click the link below to pre-register for FREE. First 10 Students get FREE Coupon to the Course Click Here When we first got started in Deep Learning particularly in Computer…

<thrive_headline click tho-post-19338 tho-test-30>5 Milestones in my AR Journey</thrive_headline>

5 Milestones in my AR Journey

So you’ve probably enrolled in my AR Business Card Crash Course, however, I have not yet formally introduced myself. My name is Ritesh Kanjee from Augmented Startups. I’ve been specializing in technology such as Augmented Reality, Artificial Intelligence as well as Electronics. Now for you to get to know me…

<thrive_headline click tho-post-18435 tho-test-16>Computer Visions Trends In 2018</thrive_headline>

Computer Visions Trends In 2018

Tech companies are working on giving us all a second set of eyes and they call it computer vision. Intro The groundwork has been laid through every connected device with a camera since these will act as the eyes for the computer. But, vision doesn’t happen in the eyes. It…

ARCore vs ARkit

ARCore vs ARkit

Google has announced ARCore on the same platform as the Apple’s ARkit, both enable the user to interact with their environment like never before. As Apple’s ARkit is only available on iOS 11 running apple devices with the new A9 processors, the iPhone 8, iPhone 8 Plus and the iPhone…

AR Kit in 2018

AR Kit in 2018

Apples AR Kit Apple introduced the AR kit earlier this year. Tim Cook making it very clear about seeing potential in Augmented Reality more than Virtual Reality. ARkit is designed to work with your real-world environment, not even considering changes in lightning and shadows. The ARkit uses phone’s camera to…

<thrive_headline click tho-post-17232 tho-test-12>FPGA’s Accelerating Image Processing 2018</thrive_headline>

FPGA’s Accelerating Image Processing 2018

Read till end to know about FPGA’s Accelerating Image Processing. Although computers keep getting faster and faster. There are always new image processing algorithms than is available. Examples of current high-demand applications include: real-time video stream encoding and decoding. Also, real-time bio metric (face, retina or fingerprint) recognition. Moreover, military aerial,…

“My first thought was, who am I to teach?”