System Compatibility: Windows, Linux, Mac, and Android with UVC.Auto Controlled Features: Saturation, Contrast, Acutance, White balance, Exposure.IR Sensitivity: Integral IR filter, visible light only.MBlock Extension Builder documentation Parameters If you are interested in controlling the smart camera through the blocks to implement more features, use the mBlock 5 Extension Builder. You can view the camera screen through PixyMon, debug the smart camera function, and fine-tune some parameters to explore more complex features.Ĭlick to download the software that is applicable to the operating system running on your PC.Ĭonsidering the ease of use of the module, we haven’t developed a lot of functions on the blocks. The smart camera supports PixyMon software. Check PixyMon’s user guide to change the default settings. The smart camera will filter out the narrow lines by default. You can set the line tracking mode to dark line on light or light line on dark in the program.Ģ. The smart camera can detect the lines and the number of branch roads, and return the coordinates, directions, and the number of branch roads.ġ. You can put the cards on the line-follower map. Switch the smart camera to the line/label tracking mode to detect and return the coordinate information of bar codes, lines, and branch roads.īar code cards and stickers are included in the package. The smart camera can detect bar codes, lines, and branch roads simultaneously without learning. Turn on the LED before learning or recognizing.The previous learning results may fail to be used in a new environment. However, changeable light can still affect recognition accuracy. The smart camera can prevent light interference. Switch the smart camera to the color block detection mode to detect the coordinates and size of the color block.Ĥ. Good example:learning an orange ball and a green ballģ. The smart camera can learn and record seven objects, which should be easily distinguished in color.Ĭautionary Example:learning a yellow ball and a yellow hat The more brighter color of the learned object, the more accurate the recognition.Ģ. Long-pressing until the purple light is onĪfter the learning is complete, you can use the following program to track the color block (color block 1).ġ. Long-pressing until the green light is on Long-pressing until the yellow light is on Long-pressing until the orange light is on After the learning is successful, when the camera recognizes a learned object, the color of the indicator becomes the same as that of the learned object.Ī maximum of seven objects can be learned and recorded in this mode. Short press the Learn button to record the current learned object.Observe the indicator on the front or back of the smart camera, and slowly move the object to be learned until the color of the indicator matches the object.Place the color block to be learned in front of the camera.Long press the Learn button until the indicator turns red (orange, yellow, green, blue, or purple, different colors indicate learning different objects), and then release the button.The smart camera can learn brightly colored objects and identify the color blocks after learning, and then return their coordinates, length, and width. Power only through the USB port may affect the proper use of the block. Note: It is recommended to power the smart camera through the mBuild power module. Method 2 Power through a 3.7V lithium battery Method 1 Power through the mBuild power module (recommended) Connect to mBotĪfter connecting the smart camera to mBot, you can power it with a 3.7V lithium battery or the mBuild power module. After connecting it to mBot or Halocode, you can control it through mBot or Halocode. The smart camera can learn and recognize brightly colored objects as well as detecting bar codes and lines, which allows it to be used in various application scenarios, such as garbage sorting, intelligent transportation, object tracking, and intelligent line following.īased on the wiring mode, the smart camera can be used as an RJ25 electronic module or mBuild electronic.
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