We present a scalable in-pixel processing architecture that can reduce the data throughput by 10X and consume less than 30 mW per megapixel at the imager frontend.
In this paper we present Hyper-Dimensional Reconfigurable Analytics at the Tactical Edge using low-SWaP embedded hardware that can perform real-time reconfiguration at the edge leveraging non-MAC deep neural nets (DNN) combined with hyperdimensional (HD) computing accelerators.
We review HyDRATE, a low-SWaP reconfigurable neural network architecture developed under the DARPA AIE HyDDENN (Hyper-Dimensional Data Enabled Neural Network) program.
We present a camera system for instantaneous, non-destructive capture of spectral signatures for forensic analysis. Our system detects highly probative samples in the forensic scene mixed by the multiple target objects by combining a coded aperture snapshot spectral imager with a multi-spectral detection algorithm.
We introduce Vision Guided Compression (VGC), as a pre-processing technology that can be coupled with standards-based video coding, to provide FMV at low-bit rates.
We introduce Salience-Based Compression (SBC), a vision-guided pre-filtering technology, coupled with standards-based video coding.
Maximizing transmitted video quality at the highest resolution and highest frame rate is desirable,but multiple approaches can be employed to
maximize transmission quality for the video at a given bitrate.
This paper describes a macroblock-based mixed resolution video encoding system. By reducing the spatial resolution of some macroblock residuals intelligently, our preliminary experiments show up to 20% improvement in video compression efficiency compared to H.264.
In this paper, we present the work on implementation of a half-D1interlaced MPEG-4 encoder with Equator Technology DSP chip, BSP-15.