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PathPartner Technology

Nextchip Demonstration of Efficient Driver Monitoring for Automotive Cameras

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Jessie Lee, General Manager of Technical Marketing at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Lee demonstrates efficient driver monitoring for automotive cameras. In this demonstration, Nextchip, in collaboration with PathPartner Technology, presents a driver monitoring system (DMS) solution based on its ADAS […]

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Upcoming Webinar Explores the Challenges Faced in Developing Facial Recognition Technology

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On August 25, 2020 at noon ET (9 am PT), Alliance Member Company PathPartner Technology will deliver a webinar that explores the challenges faced in developing facial recognition technology. From the event page: Per a Markets & Markets research report, the facial recognition market is expected to grow at a CAGR of 16.6% from $

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“Using Deep Learning for Video Event Detection on a Compute Budget,” a Presentation from PathPartner Technology

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Praveen Nayak, Tech Lead at PathPartner Technology, presents the "Using Deep Learning for Video Event Detection on a Compute Budget" tutorial at the May 2019 Embedded Vision Summit. Convolutional neural networks (CNNs) have made tremendous strides in object detection and recognition in recent years. However, extending the CNN approach to understanding of video or volumetric

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PathPartner Showcases AI-Based Algorithms for Autonomous Machines on NVIDIA’s Jetson AGX Xavier Platform

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PathPartner to Demonstrate its Smart-Vision Algorithms Suite at GTC 2019 in San Jose from March 17-21 Fremont, California – Mar 2, 2019 – PathPartner Technology, a product R&D and engineering specialist, announced today that it will demonstrate its AI-based smart-vision algorithms suite for autonomous machines at the GPU Technology Conference (GTC) 2019 in San Jose

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PathPartner Showcases In-Cabin Driver Monitoring Solution Based on Third-Generation Qualcomm Snapdragon Automotive Cockpit Platforms

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PathPartner Demonstrates New Features and High Performance Capabilities for DMS Product at the Consumer Electronics Show 2019 in Las Vegas FREMONT, Calif. (PRWEB) January 08, 2019 – PathPartner Technology, a product R&D and engineering specialist, announced today that it will demonstrate its next-generation driver monitoring solution at the Consumer Electronics Show (CES) 2019 from January

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PathPartner Technology and Synopsys Demonstration of Facial Recognition and Verification

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Gordon Cooper, product marketing manager at Synopsys, and Praveen G.B., technical lead for DSP at PathPartner Technology, deliver a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Cooper and Praveen demonstrate PathPartner’s facial recognition/verification model, which accounts for changes in illumination, clothes, occlusion, and expression variations. The model can be run on the

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PathPartner Technology Demonstration of Its Embedded Vision Capabilities

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Praveen GB, Technical Lead at PathPartner Technology, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Praveen demonstrates how deep learning and embedded vision can be used to reliably detect driver drowsiness and inattention in real time, under various occlusions and environmental conditions. Also demonstrated is a traffic sign recognition solution based

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“Understanding and Implementing Face Landmark Detection and Tracking,” a Presentation from PathPartner Technology

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Jayachandra Dakala, Technical Architect at PathPartner Technology, presents the “Understanding and Implementing Face Landmark Detection and Tracking” tutorial at the May 2018 Embedded Vision Summit. Face landmark detection is of profound interest in computer vision, because it enables tasks ranging from facial expression recognition to understanding human behavior. Face landmark detection and tracking can be

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“Creating a Computationally Efficient Embedded CNN Face Recognizer,” a Presentation from PathPartner Technology

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Praveen G.B., Technical Lead at PathPartner Technology, presents the “Creating a Computationally Efficient Embedded CNN Face Recognizer” tutorial at the May 2018 Embedded Vision Summit. Face recognition systems have made great progress thanks to availability of data, deep learning algorithms and better image sensors. Face recognition systems should be tolerant of variations in illumination, pose

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“Approaches for Vision-based Driver Monitoring,” a Presentation from PathPartner Technology

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Jayachandra Dakala, Technical Architect at PathPartner Technology, presents the "Approaches for Vision-based Driver Monitoring" tutorial at the May 2017 Embedded Vision Summit. Since many road accidents are caused by driver inattention, assessing driver attention is important to preventing accidents. Distraction caused by other activities and sleepiness due to fatigue are the main causes of driver

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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