Box 500 electrolytic capacitors
Sold outTransparent plastic case with compartments and closing hinge containing 500 radial electrolytic capacitors divided into 24 values ranging from 0.1µF - 1000µF. Dielectric: aluminum.
Overview
Transparent plastic box with compartments and closing hinge containing 500 radial electrolytic capacitors divided into 24 values ranging from 0.1µF - 1000µF.
Dielectric material: aluminum.
Contents of the package:
- 30 pieces - 0.1uF 50V dim: 4x7
- 20 pieces - 0.22uF 50V dim: 5x11
- 20 pieces - 0.47uF 50V dim: 5x11
- 20 pieces - 1uF 50V dim: 5x11
- 30 pieces - 2.2uF 50V dim: 4x7
- 30 pieces - 3.3uF 50V dim: 4x7
- 30 pieces - 4.7uF 50V dim: 4x7
- 30 pieces - 10uF 25V dim: 4x7
- 20 pieces - 10uF 50V dim: 5x11
- 30 pieces - 22uF 16V dim: 4x7
- 30 pieces - 22uF 25V dim: 4x7
- 30 pieces - 33uF 16V dim: 4x7
- 30 pieces - 47uF 10V dim: 4x7
- 20 pieces - 47uF 25V dim: 5x11
- 15 pieces - 47uF 50V dim: 6x11
- 20 pieces - 100uF 16V dim: 5x11
- 15 pieces - 100uF 25V dim: 5x11
- 15 pieces - 220uF 10V dim: 5x11
- 15 pieces - 220uF 25V dim: 6x11
- 10 pieces - 330uF 25V dim: 8x12
- 10 pieces - 470uF 10V dim: 6x11
- 10 pieces - 470uF 16V dim: 8x12
- 10 pieces - 680uF 16V dim: 8x12
- 10 pieces - 1000uF 16V dim: 10x16
Get Inspired
Combine the Alvik, Modulinos, Nano ESP32 and the Nicla Vision to create a robot that can respond to your greeting!
Shortly after attending a recent tinyML workshop in Sao Paolo, Brazil, Joao Vitor Freitas da Costa was looking for a way to incorporate some of the technologies and techniques he learned into a useful project. Given that he lives in an area which experiences elevated levels of pickpocketing and automotive theft, he turned his attention to a smart car security system. His solution to a potential break-in or theft of keys revolves around the incorporation of an Arduino Nicla Vision board running a facial recognition model that only allows the vehicle to start if the owner is sitting in the driver’s seat. The beginning of the image detection/processing loop involves grabbing the next image from the board’s camera and sending it to a classification model where it receives one of three labels: none, unknown, or Joao, the driver. Once the driver has been detected for 10 consecutive seconds, the Nicla Vision activates a relay in order to complete the car’s 12V battery circuit, at which point the vehicle can be started normally with the ignition. Through this project, da Costa was able to explore a practical application of vision models at-the-edge to make his friend’s car safer to use. To see how it works in more detail, you can check out the video below and delve into the tinyML workshop he attended here.
