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• The AceleradorSNN system integrates a Neuromorphic Processing Unit (NPU) based on Spiking Neural Networks (SNNs) to process asynchronous data from Dynamic Vision Sensors (DVS).method 95%
• The system includes a dynamically reconfigurable Cognitive Image Signal Processor (ISP) for RGB cameras that receives control instructions from the NPU.technical 90%
• The NPU and ISP operate in a closed cognitive loop, where the NPU detects objects and lighting anomalies to dynamically reconfigure the ISP's parameters.method 85%
• The system is designed for FPGA and ASIC implementation and achieves a high Technology Readiness Level (TRL 6/7) for critical embedded applications.technical 90%
• The AceleradorSNN system addresses limitations of traditional Convolutional Neural Networks (CNNs) for high-speed, low-latency, and energy-efficient object detection in autonomous systems.market 85%
• The NPU processes DVS events by segmenting continuous asynchronous streams into fixed temporal windows and encoding them using a one-hot spatial-temporal voxel grid.method 80%
• The ISP can dynamically adjust parameters such as AWB gains, Gamma LUTs, and NLM denoising strength based on NPU instructions.technical 90%
• The system establishes a new paradigm in embedded AI for aerospace, automotive, and industrial applications by combining SNNs with dynamic ISP control.market 75%

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