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I don't remember much details since 2014, but you are expert enough not to tell you that I had to change pins to match the MCU for which I am compiling at least, and make sure other MCU specific registers/interrupts are correctly configured as well.

Yes of course. As i said i tried a demo from MLA for PICDEM USB board without touching the code (the mouse sample). i didn't change the MCU just in case i missed with some configuration. Everything is correct. That's why i'm confused and that's why i need to know where is the problem. is it the USB stack or proteus.

i hope i can try my code on real hardware when i come back to my lab after 4 days

I don't remember much details since 2014, but you are expert enough not to tell you that I had to change pins to match the MCU for which I am compiling at least, and make sure other MCU specific registers/interrupts are correctly configured as well.

Here's exactly what you need: https://www.renesas.com/us/en/products/audio-video/video-decoders-encoders/video-decoders/device/ISL79987.html

I have downloaded the last MLA (Microchip Library v2017) that support PIC18 USB Device also the latest XC8.

All USB samples from MLA compile out of the box without any problem, but non of them are working in Proteus USB simulation. First i thought it was a Proteus problem, i opened usb hid mouse sample provided by proteus and it works, but none of the demo within MLA works. USB analyzer stuck on get device descriptor.

i also tried MikroC simple HID device and it works also in proteus.

The reason i need XC8 and MLA USB stack because it is almost full USB stack and not a light weight stack as provided by MikroC and Proton.

I don't have a real hardware near me to try on real hardware right now.

Please if someone can confirm that USB stacks (XC8 + MLA) (Custom HID sample or mouse sample) is working fine on real hardware or in simulation, if yes then provide the exact version.

Device used : 18F14k50 or 18F45k50

[Gesture Controlled Wheel Chair Using ATmega32 (EFY Feb2017)]

Gesture Controlled Wheel Chair Using ATmega32 (EFY Feb2017)
Wheelchairs  are  useful  for people for whom walking is difficult or impossible due to some illness, injury or disability. There are  different  types  of  wheelchairs. Manual wheelchairs are pushed using their handles. Motorized wheelchairs, are driven by joystick. Voice-controlled  wheelchairs  are the latest development. These can be driven just by giving voice commands. A more advanced and intelligent version  of  the  wheelchair  is  controlled directly  through  human  mind,  such as the one used by renowned scientist Stephen Hawking. In case a person is unable to move the  wheelchair  even  with  joystick or  voice  command,  an  alternative  is gesture-controlled  wheelchair.  The wheelchair moves as per user’s finger gestures. The user has to simply bend his fingers to move the wheelchair. Here  we  present  the  project  to control  a  wheelchair  through  finger gestures. It uses flex sensors to record finger  gestures.  The  gesture  signals are fed to ATmega32 microcontroller, which  processes  the  information  to control four DC motors in order to move the wheelchair in any desired direction. Flex  sensors  are  widely  used  to convert finger gestures into equivalent electrical  signals.  These  are  actually variable  resistors,  whose  resistance changes when these are bent in either direction. This change in resistance is converted into an equivalent voltage, which can be used for further processing.

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updated to MPLAB® XC32/32++ Compiler v2.41

Thank you , still perfect.

X!

[Country]

Country	INDIA
Note	Programming C C++ Vb

[Country]

Country	Hong Kong
Note	Hong Kong Electronics Engineer. want learn more electronics info and looking for some electronics books

[Wireless VU METER (EFY Feb 2018)]

Wireless VU METER (EFY Feb 2018)
V U meter is a standard device that indicates signal level in audio  equipment.  Unlike other  devices,  this  meter doesn’t  require  physical connection between  the audio source and the circuit. The speaker of any audio device produces  magnetic  fields  according to the music. These magnetic fields are sensed by inductor L1 (10µH) and amplified by the pre-amplifier circuit built  around  T1.  The  output  of  the pre-amp circuit is fed to analogue to digital converter (ADC) pin 40 of the AVR microcontroller (IC1). The output voltage of the pre-amp circuit is below 2Vpp and the ADC reference voltage is 2.5V. The microcontroller processes the input signal to drive the bargraph LED (BAR1)  connected  to  Port  C  of  IC1. The louder the music signal, the more the number of LEDs that glow in the bargraph.

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Hello HackAndCrack,

I am trying to use KeyGen but I am not having success; the application does not open. I've tried it on Win 10 and Win 7, both x64.

You need to install 1Way to use the keygen.