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Make AI Digicam with Raspberry Pi
A long time ago, my daughter and I were engaged in scientific work, researching an improved CMUcam, which was originally created at Carnegie Mellon University.

She modified the code to ensure that after changing the RGB impression to use at least one of Hue, Saturation and Depth, the major obstacle identification is sent. The 8-bit microcomputer is restricted, and the body cost is small, but it is very laborious. The latest platform is called Vizy, and it is working on Kickstarter. In order to better understand Vizy's performance, I talked with Rich LeGrand, President of Charmed Labs.

Can you inform me more details about Charmed Labs? We are a small business in Austin, Texas. We choose to build products for educators, hobbyists and roboticists. "Educational robotics" is usually an area we have been focusing on for a long time. In the past few years, we launched the Pixy digital camera for the Kickstarter campaign. The construction of the Gigapan series camera mount is also included. We are obviously nerds.

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What is it that drives Vizy's story? I have been working with the educational university located below UT in Utah to provide many students with "producer skills" that they can use in their future education. They are awesome. In any case, one of the students has the strategy of becoming a physics instructor. We learned to talk about the fun gadgets used by physicists to show many things, including projectile motion, conservation of momentum, etc.

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This makes me a scholar who thinks about physics. They are likely to get rewards from the visual system to track the movement of objects. We provide other things Vizy can do, such as paying close attention to the bird feeder as a way to show off its flexibility. This is a great and powerful system for vision applications. Maybe a good/interesting learning system that can solve several problems, such as physics, astronomy, artificial intelligence, image processing, Internet of Things, etc.

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Now that there is a profitable Kickstarter campaign, what are your thoughts on Vizy after the marketing campaign is over?

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Precision: Precisely attract potential customers.

Accelerate: Accelerate the transformation of consumer perception into movement.
Optimization: Optimize marketing returns and advertising investment decisions.
Artificial intelligence has introduced a variety of innovations in digital Internet marketing. At the same time, a large number of the latest artificial intelligence technology resources have been introduced into the stack that promotes engineering.

Let us consider 4 really thriving use cases in which synthetic intelligence is being reworked to promote and achieve breakthrough success:

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AI has excellent curatorial capabilities and can create a large number of high-quality materials. The device can even be further used to proofread written content, and then you can distribute it to the right people at the right time, using the right scale as a platform.

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Like all brands around the world, their goal is usually to combine consumers with the right concept at the ideal time, through the ideal channel and the appropriate and appropriate materials. They have only a few online staff, and it is definitely too difficult to handle all their electronic publicity needs, especially SEM and social channels.

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Therefore, manufacturers turn to AI to perform many time-consuming manual tasks, and humans are striving to perform these tasks at the speed and scale required for efficient and beneficial customer interaction. Through the planning of written content, Evisu entrepreneurs have discovered that taking appropriate action to ensure that a certain personalization is accurate and in the right place is a crucial achievement factor. You must take the time to check your potential customers’ reactions to the articles you will send to higher positions to understand what features and what does not work.

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