Manual localizer of faulty electronic components using analog signature analysis with convenient touch screen. EyePoint S2 - the second generation of a desktop system for manual localizing faulty electronic components on PCB. The system has a large convenient touch screen. An additional pedal will simplify the management of the system.
Simple and lightweight device
Test signal frequency range: 1 Hz - 100 kHz
"Test Plan" mode: available
Archive with all software and documentation for this product
User manual, product passport, etc.
|Link ||Version ||Release date ||Size |
Drivers for Windows (Linux does not need a driver).
Firmware updates are performed using EPCBootGUI cross-platform software (download link on this page).
PC software for Troubleshooting printed circuit boards using EyePoint analog signature analyzers. The software requires Python 3.6.8 (win32) with a set of necessary libraries, as well as Microsoft Visual C++ Redistributable packages for Visual Studio 2013 (win32). You can download them on this page.
PC software, similar to the graphical interface of the EyePoint S2 device, for Troubleshooting printed circuit boards using EyePoint analog signature analyzers. The software requires Python 3.6.8 (win32) with a set of necessary libraries, as well as Microsoft Visual C++ Redistributable packages for Visual Studio 2013 (win32). You can download them on this page.
Cross-platform software with a graphical interface for debugging EyePoint IVM signature analyzers. This software allows you to manually call management commands. Formation and analysis of fields of complex commands is done automatically. The software is distributed as binary files and as source code. To run on Windows requires a driver.
Cross-platform software for updating eyepoint signature analyzer firmware and its source codes. EPCBootGUI repository on GitHub: https://github.com/EPC-MSU/epcboot-gui
Embedded operating system images for EyePointS series devices. The image is updated by writing to the SD card. For more information, see the user's guide. To write an image to an SD card in Windows, you can use the Win32 Disk Imager (you can download it from the official website or from this page).
Documentation for the libivm library, that can be used to interact with EyePoint IVM VAC meters. The library itself can be downloaded on this page.
Additional third-party software that may be required when working with EyePoint devices.
Cross-platform library for working with EyePoint I–V curve-meters (a signature meter used in various devices, in the EyePoint product line). The library is written in C, distributed as binary files (win32, win64, debian) and as source code. Library documentation can be downloaded separately on this page.
A set of code examples in C, C#, and Python that implement simple signature measurements using EyePoint IVM (a signature meter used in various devices, in the EyePoint product line). You can also find bindings for Python and C# in this archive.