As machine vision systems move to higher resolutions, faster frame rates, and multi-camera setups, the real bottleneck isn’t the camera or network, it’s processing. When data rates hit 10 Gbps, traditional host architectures struggle. CPUs strain, latency creeps in, and dropped frames become a real risk in real-time. 📄 Download our FREE whitepaper to learn how new solutions solve CPU bottlenecks in real-world medical imaging and microscopy. https://lnkd.in/eZPApBMx | Pleora Technologies
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