tag: computer vision

Deep Learning In Industrial Inspection
By Ed Sperling - 24 May, 2022 - Comments: 0

Deep learning is at the upper end of AI complexity, sifting through more data to achieve more accurate results. Charlie Zhu, vice president of R&D at CyberOptics, talks about how DL can be utilized with inspection to identify defects in chips that are not discernible by traditional computer vision algorithms, classifying multiple objects simultaneously from multiple angles and taking into accou... » read more

Data Fusion Scheme For Object Detection & Trajectory Prediction for Autonomous Driving
By Technical Paper Link - 23 May, 2022 - Comments: 0

New research paper titled "Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving" from researchers at Uber. Abstract "We present an end-to-end method for object detection and trajectory prediction utilizing multi-view representations of LiDAR returns. Our method builds on a state-of-the-art Bird's-Eye View (BEV) network that fuses voxelized featur... » read more

Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS
By Technical Paper Link - 15 Feb, 2022 - Comments: 0

Abstract: "Camera-based Deep Learning algorithms are increasingly needed for perception in Automated Driving systems. However, constraints from the automotive industry challenge the deployment of CNNs by imposing embedded systems with limited computational resources. In this paper, we propose an approach to embed a multi- task CNN network under such conditions on a commercial prototy... » read more

Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving
By Technical Paper Link - 11 Jan, 2022 - Comments: 0

Abstract "We present an end-to-end method for object detection and trajectory prediction utilizing multi-view representations of LiDAR returns. Our method builds on a state-of-the-art Bird's-Eye View (BEV) network that fuses voxelized features from a sequence of historical LiDAR data as well as rasterized high-definition map to perform detection and prediction tasks. We extend the BEV network ... » read more

Why Wafer Bumps Are Suddenly So Important
By Anne Meixner - 10 Aug, 2021 - Comments: 2

Wafer bumps need to be uniform in height to facilitate subsequent manufacturing steps, but a push for 100% inspection in packaging in mission-critical markets is putting a strain on existing measurement technologies. Bump co-planarity is essentially a measure of flatness. Specifically, it measures the variation in bump height, which may have a target, for example, of about 100 microns. As a ... » read more

It’s Eternal Spring For AI
By Rama Chellappa - 14 Jul, 2020 - Comments: 0

The field of Artificial Intelligence (AI) has had many ups and downs largely due to unrealistic expectations created by everyone involved including researchers, sponsors, developers, and even consumers. The “reemergence” of AI has lot to do with recent developments in supporting technologies and fields such as sensors, computing at macro and micro scales, communication networks and progre... » read more

Week in Review – IoT, Security, Autos
By Jeff Dorsch - 04 Oct, 2019 - Comments: 0

Products/Services Cadence Design Systems is working with Adesto Technologies to grow the Expanded Serial Peripheral Interface (xSPI) communication protocol ecosystem, for use in Internet of Things devices. The Cadence Memory Model for xSPI allows customers to ensure optimal use of the octal NOR flash with the host processor in an xSPI system, including support for Adesto’s EcoXiP octal xSPI ... » read more

New Vision Technologies For Real-World Applications
By Gordon Cooper - 03 Oct, 2019 - Comments: 0

Computer vision – the ability of a machine to ‘infer’ or extract useful information from a two-dimensional image or an uncompressed video stream of images – has the ability to change our lives. It can enable self-driving cars, empower robots or drones to see their way to delivering packages to your doorstep, and can turn your face into a payment method (Figure 1). To achieve these advan... » read more

Blog Review: June 26
By Jesse Allen - 26 Jun, 2019 - Comments: 0

Arm's Krish Nathella and Dam Sunwoo dig into research to make a practical implementation of a temporal data prefetcher that overcomes the huge on- and off-chip storage and traffic overheads usually associated with them. Cadence's Paul McLellan notes that while concerns about uncover bias in computer vision algorithms usually focus on people, a team at Facebook found that object recognition t... » read more

SLAM And DSP Implementation
By Cadence - 29 May, 2019 - Comments: 0

With the introduction of simultaneous localization and mapping technology, or SLAM, there comes a need for more sophisticated DSPs to handle the required computations. To address this need, Cadence has introduced the Tensilica Vision Q7 DSP to handle the requirements of SLAM, including high performance, low power, and with an ease of development that engineers can leverage to design new and exc... » read more

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