Software Engineering
Software engineering is one of our specialties. We make many different types of software, but all of them are generally involve either sending data to the cloud, retrieving data in the cloud or both. We can make anything from basic apps built from python’s tkinter to complicated django web applications.
Web Apps
Web Apps are the future!
Web apps are the best way to connect users with data and allow interactabilty. Web apps are our passion and something we excel at. Web apps accomplish many things. We often use Django to organize and structure a reporting service to a data stream. Django is our middle man beteen our clients and the code. With django, users can select and view what data they want. Users see what they want and have the power to control it with a click of a setting.
Django is also very useful for making monitors, since it lives on the web, it can run and always hold the most up to date information. One of the ways manufacturig facilites keep on top of their processes is to use TVs to brodcast the relevent information directly to technicians.
Desktop Apps
Tkinter
QC breeze is software tool to assist a failure mode inspection process. When manufacturing quality checkpoint encounters part failures, manufacture engineers are called to inspect the failures. The process had too many unnecessary steps. The slowest part of the process was taking pictures of a failure mode and saving them to an online location in a strict format (Date-LotNumber-SerialNumber-failure mode description).
The process is now extremely efficient with this software tool. Engineers simply take all the pictures at once, then enters the date. Pictures are then loaded consecutively, engineers can simply scan the barcode and write the failure mode description instead of manually entering all of the information in the required format. When the “send data” button is pressed, software will create the file name and save the image in the correct location.
The software also sends data to an internal database, which can be helpful when engineers want more information about rates of failures per area, machine or instrument. Data trending here gives insights to manufacturing engineering of what equipment in production could be causing failures. If equipment is identified, engineering can replace the machine with another instance and provide maintenance on the other.
Overall, the software has reduced inspection time to about half and has provided engineering some interesting information about their own process.
