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GTC ON-DEMAND

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Abstract:

Modern computing hardware and NVIDIA Jetson TX1 / TX2 performance create new possibilities for smart city applications and retail, parking lot, and drone industries. We'll present on how the PIXEVIA system covers vision processing and AI tasks using deep neural networks; learning using computer generated images for number plate recognition; and self-supervised learning for vehicle detection. We will explore methods for orchestrating and combining information from different type of neural networks (from SSDs, Mask-RCNNs to attention based RNNs). Real-world use cases for parking lots (empty parking space detection, number plate recognition) and retail industries (amount of stock on the shelf calculation, people counting with age and gender recognition) will also be presented.

Modern computing hardware and NVIDIA Jetson TX1 / TX2 performance create new possibilities for smart city applications and retail, parking lot, and drone industries. We'll present on how the PIXEVIA system covers vision processing and AI tasks using deep neural networks; learning using computer generated images for number plate recognition; and self-supervised learning for vehicle detection. We will explore methods for orchestrating and combining information from different type of neural networks (from SSDs, Mask-RCNNs to attention based RNNs). Real-world use cases for parking lots (empty parking space detection, number plate recognition) and retail industries (amount of stock on the shelf calculation, people counting with age and gender recognition) will also be presented.

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Topics:
Intelligent Video Analytics
Type:
Talk
Event:
GTC Europe
Year:
2018
Session ID:
E8341
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Abstract:

Modern computing hardware and NVIDIA Jetson TX1 / TX2 performance create new possibilities for drones and enable autonomous AI systems, where image processing can be done on-board during flight or near the camera. We'll present how PIXEVIA system covers vision processing and AI tasks for drones, e.g., image stabilization, position estimation, object detection, tracking, and classification using deep neural networks, and self-evolvement after deployment. We'll describe software frameworks Caffe/Tensorflow with cuDNN, VisionWorks, and NVIDIA CUDA to achieve real-time vision processing and object recognition. Real-world use cases with drone manufacturers Aerialtronics and Squadrons Systems, and with smart city applications in Vilnius and Tallinn will be presented during this talk.

Modern computing hardware and NVIDIA Jetson TX1 / TX2 performance create new possibilities for drones and enable autonomous AI systems, where image processing can be done on-board during flight or near the camera. We'll present how PIXEVIA system covers vision processing and AI tasks for drones, e.g., image stabilization, position estimation, object detection, tracking, and classification using deep neural networks, and self-evolvement after deployment. We'll describe software frameworks Caffe/Tensorflow with cuDNN, VisionWorks, and NVIDIA CUDA to achieve real-time vision processing and object recognition. Real-world use cases with drone manufacturers Aerialtronics and Squadrons Systems, and with smart city applications in Vilnius and Tallinn will be presented during this talk.

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Topics:
Intelligent Machines, IoT & Robotics, Intelligent Video Analytics, Video & Image Processing
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23320
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Abstract:

The modern computing hardware, and Jetson TX1 performance gives new possibilities for drones and enables autonomous AI systems, where image processing can be done on-board, during the flight. This talk will present how we developed AirVision system to cover advanced vision processing tasks for drones, e.g., image stabilization, moving object detection, tracking, and classification, visual position estimation using preloaded map. We will show how we use software frameworks Caffe with cuDNN, OpenVX / VisionWorks, CUDA to achieve real-time vision processing and object recognition. AirVision system is partial developed from Lithuanian Ministry of Defence funding and used in tactical UAV system prototype.

The modern computing hardware, and Jetson TX1 performance gives new possibilities for drones and enables autonomous AI systems, where image processing can be done on-board, during the flight. This talk will present how we developed AirVision system to cover advanced vision processing tasks for drones, e.g., image stabilization, moving object detection, tracking, and classification, visual position estimation using preloaded map. We will show how we use software frameworks Caffe with cuDNN, OpenVX / VisionWorks, CUDA to achieve real-time vision processing and object recognition. AirVision system is partial developed from Lithuanian Ministry of Defence funding and used in tactical UAV system prototype.

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Topics:
Intelligent Machines, IoT & Robotics, Video & Image Processing
Type:
Talk
Event:
GTC Europe
Year:
2016
Session ID:
SEU6150
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