Researchers from Istanbul Medeniyet University have developed a hardware-software co-design for real-time video super-resolution on resource-constrained edge platforms. The solution utilizes an integer-only deep-learning processing unit on an AMD Xilinx Kria KV260 board, achieving 96.37 FPS with high power efficiency suitable for surveillance and autonomous systems.