Wyze Labs
Fine-Grain Object Recognition Using Wyze Cam
Network cameras are used widely in both consumer and industrial applications, and some advanced features like Machine Learning tagging can help to provide insights into the video streams. However, the current content-based tagging solutions can only generate high-level labels like a car, person or pet instead of specific subordinate categories from these high-level labels. The student team worked to provide a more informative image tagging solution by investigating the application of fine-grained object recognition for dog breeds in network cameras.
Faculty Adviser(s)
Arka Majumdar, Electrical & Computer Engineering
Related News
Mon, 10/13/2025 | UW Mechanical Engineering
Capstone collaboration leads to award
An ME capstone team received first place for its energy audit of the UW School of Social Work building.
Mon, 07/07/2025 | UW Mechanical Engineering
Capstone creations
Students displayed innovative capstone design projects at the 2025 expo.
Fri, 09/20/2024 | UW Civil & Environmental Engineering
Smarter irrigation for a greener UW
A new project combines satellite data with ground sensors to conserve water and create a more sustainable campus environment.
Mon, 09/09/2024 | UW Mechanical Engineering
Testing an in-home mobility system
Through innovative capstone projects, engineering students worked with community members on an adaptable mobility system.