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http://hdl.handle.net/2080/5565| Title: | Asynchronous FIFO in FPGA for Video Acquisition in IoT-Based Systems |
| Authors: | Konar, Arpan Balani, Lakshay Acharya, Debiprasad Priyabrata |
| Keywords: | FPGA Asynchronous FIFO Dual-clock systems Video acquisition IoT |
| Issue Date: | Dec-2025 |
| Publisher: | National Institute of Advanced Manufacturing Technology |
| Citation: | International Conference on Recent Trends in Intelligent Computing, Manufacturing and Electronics (rTIME-2025), Ranchi, Jharkhand, 5-7 December 2025. |
| Abstract: | High-speed video acquisition over Ethernet on FPGA platforms presents significant challenges due to strict real-time bandwidth requirements and susceptibility to packet jitter and synchronization errors. Asynchronous FIFO buffers play a critical role in such systems by decoupling write and read clock domains, thereby ensuring continuous and reliable data flow. This paper presents a custom dual-clock FIFO architecture for real-time video acquisition in IoT-based FPGA systems. Ethernet payloads arriving at 125 MHz are decoded into a 32-bit RGB stream and written into the FIFO, while data are read at 175 MHz for downstream processing. A FIFO depth of 4 KB is selected to buffer one video line, effectively absorbing jitter and mitigating packet delay variations. The design is implemented in Verilog HDL and verified using AMD Vivado 2024.1 under worst-case burst conditions. The simulation results demonstrate stable clock-domain crossing, correct RGB reconstruction, and zero frame loss. A quantitative comparison with the IP of the Vivado FIFO Generator confirms identical throughput. The proposed FIFO architecture provides improved design transparency and configurability, making it well suited for reliable, real-time FPGA-based video acquisition pipelines. |
| Description: | Copyright belongs to proceedings publisher. |
| URI: | http://hdl.handle.net/2080/5565 |
| Appears in Collections: | Conference Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2025_ICrTIME_AKonar_Asynchronous FIFO.pdf | Conference Paper | 1.51 MB | Adobe PDF | View/Open Request a copy |
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