{"id":2498,"date":"2022-09-19T11:35:01","date_gmt":"2022-09-19T09:35:01","guid":{"rendered":"https:\/\/www.nico-maas.de\/?p=2498"},"modified":"2023-03-10T18:32:16","modified_gmt":"2023-03-10T17:32:16","slug":"labsentinel-2","status":"publish","type":"post","link":"https:\/\/www.nico-maas.de\/?p=2498","title":{"rendered":"labSentinel 2"},"content":{"rendered":"\n

About nearly a year ago, I wrote the labSentinel project for my Nvidia Jetson AI Specialist certification. The basic idea of the project is to be able to supervise old Lab Equipment which does not poses any kind of log output or interface other than a graphical user interface, running on an Windows 3.11 \/ 95 \/ NT - maybe even XP system. I solved this issue by using a video grabber attached to a Jetson Nano and \"out-of-band\" grabbing the screen output of the experiment computer. I then learned good and bad system states via Nvidias Inference tools and finally got the system to report via MQTT as soon as something did go wrong. (As a \"test system\" I designed a flashy GUI application to try to mimic the old interfaces - specifically thinking about a lab power supply with multiple outputs - and the ability to simulate errors.)(https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects#labsentinel<\/a> \/ https:\/\/github.com\/nmaas87\/labsentinel<\/a>)<\/p>\n\n\n\n

While the project did work, there was still a lot left to be desired:<\/p>\n\n\n\n