🚀 Elevate Your Vision with JeVois!
The JeVois-A33 Quad-Core Smart Machine Vision Camera is a compact, open-source camera designed for a variety of platforms including PC, Mac, Linux, Arduino, and Raspberry Pi. It features a powerful 1.34GHz quad-core processor, 256MB DDR3 RAM, and supports over 30 free machine vision algorithms, making it an ideal choice for developers and hobbyists looking to integrate advanced vision capabilities into their projects.
Standing screen display size | 3.4 Inches |
Processor | 1.34 GHz arm_7100 |
RAM | 256 MB DDR3 |
Memory Speed | 1600 MHz |
Number of USB 2.0 Ports | 1 |
Brand | JeVois |
Series | BEG33BLK |
Hardware Platform | PC, Mac, Linux, Arduino, Raspberry Pi, Beaglebone |
Operating System | JeVois Linux |
Item Weight | 1.23 ounces |
Product Dimensions | 1.54 x 1.22 x 0.91 inches |
Item Dimensions LxWxH | 1.54 x 1.22 x 0.91 inches |
Color | Black |
Rear Webcam Resolution | 1.3 MP |
Processor Brand | AllWinner A33 Quad-Core |
Number of Processors | 1 |
Computer Memory Type | DDR3 SDRAM |
Hard Drive Interface | Solid State |
Power Source | USB-powered (USB3.0 or 2xUSB2.0 ports required) |
Voltage | 5 Volts |
Manufacturer | JeVois Inc |
Is Discontinued By Manufacturer | No |
Date First Available | May 15, 2017 |
J**Y
Powerful Arduino camera, basic programming skills recommended
The camera was shipped quickly, I received it already the next day. The product comes in a handy metal case.I unpacked the camera and the jevois tutorials on the jevois website helped a lot with a quick start.Two important things: I used an external USB cable and got some recognition problems with my Windows 10 -> My fault, I should have used the cable that comes with the package right away! Also, once you insert the SD card into the camera, make sure you push it all the way into the camera module, otherwise your camera won’t be recognized by Windows and you’ll waste time trying to troubleshoot. Overall however, it’s a very straight forward setup.Once the camera was ready to use, I was able to run the provided sample programs in the jevois inventor software right away. It has over 30 great apps ranging from road detection, aruco marker reader, to motion flow computing, pupil tracking, to a dice pips counter. My favorite one is the object recognition app, which surprisingly recognizes quite a lot of objects smoothly (assuming you removed the plastic protection foil from the lens, which I forgot at the beginning haha!!) Since I have a little programming background, I was able to write my own vision module directly in the jevois inventor software. It is a nice all-in-one software that allows you to do lots of customization of the existing sample programs and parameters or write vision modules from scratch.I really recommend this camera, particularly because of all the software environment with all the provided sample programs that will enable you a quick start into this Arduino camera. I’m excited for all the apps I’m going to program now!
A**R
Capable device but overall design could be better
The device overall is very innovative and capable. But my main issue is the cooling system noise and vibration. I saw on the forum that it was possible to do a passive cooling (or low noise active cooling) with a slight underclock of the CPU. This seems very reasonable and for me very preferable. In it's current state, it is very loud with high vibration due to the fan. I am not sure why the device was not designed this way or at least offer multiple variations for people because it seems like others are unhappy with it too.
B**.
frustrating
The general idea and impression I got from LOOKING at JeVois was "open-source intuitive device for camera vision".The general idea and impression I got from USING the JeVois was "1 step forward, 3 steps backward".First of all, I am no coding master. I bought this for a high school project on using camera vision to track object landings after seeing it used on my Robotics team. In both of these applications, the device was a failure.I recognize that some of the blame goes on the user, but truly I was shocked just how hard this was to even use as a user. Unless you have a device that runs on linux/ubuntu, you will need to use a virtual computer to compile new modules, I used virtualbox. This wasn't so difficult, and the command line interface was actually pretty straightforward on my virtual system. All my troubles came in writing the modules, in which I got error upon error that I battled through for hours. When I finally did get my modules to compile and put it onto the JeVois, I found more errors trying to access the module. The killer part is now i have to reopen my VirtualBox and try to fix the error, reupload, replace the so file in the jevois and try again. It's a brutal process.My biggest grievance is the lack of support online in the documentation, they really need more dedicated to errors and workarounds. Most of the pages and tutorials followed a linear progression under the assumption you get no errors, then you get stuck and have to jump around the documentation looking for a solution.When I finally did get it working I was disappointed to find that lighting conditions destroy the color tuning feature ( this is what held back my robotics team as well). And generally the camera was just not accurate enough. All that work felt like it was for nothing(though I did get much better at C++ and ubuntu).One last note: the cord included was so ridiculously short it yanked the camera off my table multitudes of times. quite annoyingMy final take away is that it's just SO frustrating to use, but if you are truly a coding master of master's you might be all right. It got 2 stars from the nice concept behind it and the relatively cheap price, but keep in mind you really pay in the time spent using this camera
G**J
Initial learning curve but great for creating cool projects!
When I got this I was able to quickly set it up and run the demos with the JeVois app. The app makes it really easy to run the demos. It has over 30 great apps ranging from road detection, aruco marker reader, to motion flow computing, pupil tracking, to a dice pips counter. I was also able to interface it with an arduino. The documentation and examples show how the camera can give data to the arduino but it was a little more difficult in figuring out how the Arduino could give the camera commands. Overall you need good programming skills and you need to read the documentation well in order to make it work with your projects!
J**S
Fun demos but ended up on the shelf
Was excited about this product and after unboxing I tried a few of the included demos. Took a little while to figure out how to switch video mode and try the different demos. Not as easy on a Mac as the instructions for a Windows computer to switch resolution and other camera settings.After some demos its now placed on a shelf as I haven't figured out how to move on with deploying own code and include the camera in robotic projects.
A**R
Best small cheap machine vision camera on the market
I've been using the Jevois in my product for several months. First, it's an open source project, if you can work with opencv in c++ your can get up to speed fairly quickly. The included modules are very useful (at least for my application which is ar tags) and for everything else, the creator of the project has been very responsive and helpful.The Jevois module has some of the best specs price and size available, and they mostly speak for themselves.I have purchased something like 10 of these and they have all worked well, I'm sure I will buy many more in the future.
Trustpilot
4 days ago
2 months ago