Daten & Wissen

Daten & Wissen was hired by Duke Plasto Technique Private Limited, a manufacturing company that mass-produces pumps and pipes, to curtail the unregulated loitering of security guards. They developed a computer vision-based solution to monitor security guards who were frequently absent from their posts. The project, which lasted 4 to 5 months, was executed by a team of four, including a project manager, two data scientists, and a full stack developer. They used technologies such as Python, Pytorch, Jetson Nano, Django, MySQL, and AWS. The solution was similar to a previous project they had done for PPE detection using Computer Vision technology.

For DxMinds, an IT company specializing in mobile app development, Daten & Wissen developed an app that made exercising easy. The app used AI and Machine Learning to display gifs and voice command instructions for exercises. It also provided immediate feedback when an exercise was performed incorrectly. The project was carried out over 4 to 5 months by a team of six, including a project manager, two data scientists, and three full stack developers. They used technologies such as Python, JavaScript, HTML, CSS, Django, MySQL, and Google Colab.

The Ross Innovation Centre hired Daten & Wissen to develop a tool for detecting and eliminating mosquitoes. The company developed an AI & ML model that could detect mosquitoes and move on to neutralize them. The scope of work was to develop a model that could detect mosquitoes with more than 90% accuracy. The tool was delivered using AI & ML tools and various models were used to create the relevant data sets. The project was carried out by a team of four, who were all very proactive.