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The JeVois Camera is a low cost, all-in-one 1.3MP machine vision camera. With an on board quad core CPU and MicroSD slot, all computer vision algorithms run on the device itself and can interface to computers or other devices such as Arduinos via USB or serial connection. At just 1.7 cubic inches and 17g, this sensor is one of the smallest TensorFlow enabled, deep learning AI, smart camera on the market today. With the added ability to run most popular machine vision frameworks (Open CV 4.0.0, Caffe, Darknet), you will have plenty of options when it comes to deciding how you want to operate your new camera!
The plastic case has four mounting holes making positioning the device simple along with an integrated cooling fan insuring no overheating or thermal throttling. For those looking to get into machine vision, this camera stands to be a solid, inexpensive starting point.
If a board needs code or communicates somehow, you're going to need to know how to program or interface with it. The programming skill is all about communication and code.
Skill Level: Competent - The toolchain for programming is a bit more complex and will examples may not be explicitly provided for you. You will be required to have a fundamental knowledge of programming and be required to provide your own code. You may need to modify existing libraries or code to work with your specific hardware. Sensor and hardware interfaces will be SPI or I2C.
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If it requires power, you need to know how much, what all the pins do, and how to hook it up. You may need to reference datasheets, schematics, and know the ins and outs of electronics.
Skill Level: Rookie - You may be required to know a bit more about the component, such as orientation, or how to hook it up, in addition to power requirements. You will need to understand polarized components.
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You can do quick computer vision projects with it. It is too small, so can be added to you RC vehicle, drone etc. Only problem I have is that the USB communication. As soon as you change to a different example, the communication corrupts, and the visulizer SW on your host PC starts looking for the camera, but couldn't find it. Then, you need to restart the SW, then it will work.
This looks pretty nice. Are you considering carrying the version with the lens-aligned IMU for SLAM or structure-from-motion kinds of applications?