Low-Bandwidth Multimedia Transfer System
Extreme-Bandwidth Compression for Police Radiosets
Python
Signal Processing
Inverse Cosine Transforms
Compression Algorithms
No public repo
About the project
Police radiosets operate at very low frequency with extremely limited bandwidth, where conventional transmission methods fail. This project enables the transmission of multimedia content — images, audio, and high-level content such as video — over such constrained channels using custom compression.
What I built / how it worked
- Compression approach — transmitted multimedia by compressing the data with inverse cosine transforms combined with signal-processing techniques so it fits within the extreme bandwidth limits of police radiosets.
- Multimedia coverage — the system handles images, audio, and video, converting media into a form transmissible over very-low-frequency, low-bandwidth channels where standard methods break down.
- Recognition — won 1st place among 10 teams in the internal hackathon (April 2023); the same concept was also entered as an SIH-2023 prototype.
Feature highlights
- Multimedia (image, audio, video) transmission over extreme low-bandwidth channels.
- Inverse-cosine-transform-based compression tuned for radio-frequency constraints.
- Signal-processing integration for bandwidth-limited transport.
- First-place hackathon finish (10 teams).