MOMENTA-3P-DL-ALGORITHMS

Momenta deep learning algorithms for ADAS forward camera applications on TDA4x processors

MOMENTA-3P-DL-ALGORITHMS

From: Momenta
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Overview

Momenta’s deep learning based algorithms for ADAS applications make full use of the DSP cores and accelerators on TDA4x for neural network processing. Designed to achieve market leading computational and power efficiency, Momenta’s algorithms offer an array of pre- and post-imaging processing that simplify the computational load for neural networks. Customers can achieve faster, more accurate detection and classification for front camera perception, at a fraction of the power previously used.

Momenta's deep learning-based front camera perception algorithms have industry-leading object detection and classification capabilities, offering high-accuracy detection and recognition in a variety of difficult use cases.

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Application software & framework

MOMENTA-3P-DL-ALGORITHMS Momenta deep learning algorithms for ADAS forward camera applications on TDA4x processors

Supported products & hardware

Supported products & hardware

Arm-based processors
TDA2HG SoC processor w/ graphics, video & vision acceleration for ADAS applications TDA2HV SoC processor w/ video & vision acceleration for ADAS applications TDA2LF SoC processor for ADAS applications TDA2SG SoC processor w/ highly-featured graphics, video & vision acceleration for ADAS applications TDA2SX SoC processor w/ full-featured graphics, video & vision acceleration for ADAS applications TDA4VM Next generation SoC family for L2/L3, near-field analytic systems using deep learning technologies TDA4VM-Q1 Next generation SoC family for L2/L3, near-field analytic systems using deep learning technologies

Support & training

Third-party support
TI does not offer ongoing direct design support for this software. For support while working through your design, contact Momenta.

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