MuseBox
FPGA Machine Learning based system for real-time AV Broadcasting applications
MuseBox is a real-time machine learning system designed for real-time AV Broadcasting applications.
It can work with live stream, for interactive or live applications, and it can work with local files, when you have a big amount of files to process and also when these files are not accessible outside the local network for legal reasons.
It is based on a ZynQ Xilinx FPGA Stack for the multimedia elaboration and for Machine Learning elaboration, also with ALVEO Xilinx technology for On-Premise elaboration.
You can also connect the core system to your industrial system through a standard protocol like ZMQ, RabbitMQ or ROS protocol.
MuseBox supports Vitis AI 1.0+ .
MuseBox also supports WordPress integration for AI Application also on the cloud.



Musebox currently supports different applications (>30FPS, realtime):
FACE ANALYSIS










PEOPLE ANALYSIS

AUDIO ANALYSIS




OBJECT DETECTION






MEDICAL ANALYSIS

Currently MuseBox is supported in different hardware devices:
PYNQ Z2 (Zynq 7000)
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- Extra low power
- Extra low cost
- Embedded solution
ZCU104 (Zynq Ultrascale+)
- Low power
- Video optimized
- Embedded solution
ALVEO U200
- Mid power (200W)
- Max performances
- Edge solution
- Server deployable
ALVEO U50
- Low power (75W)
- High performance
- Edge solution
- Server deployable
VERSAL VCK190