Netpage is an augmented reality mobile app which provides digital functionality for printed media. The application uses image recognition technology to recognize content on Netpage-enabled printed pages, and then serves up a "digital twin" of the recognized page.
Netpage is an augmented reality mobile app which provides digital functionality for printed media. The application uses image recognition technology to recognize content on Netpage-enabled printed pages, and then serves up a "digital twin" of the recognized page.
Nabto offers a solution enabling users to access devices behind a firewall. The patented technology provides secure, encrypted communication to devices through firewalls, no matter where they are and how they are connected to the internet.
Using PhoneGap to develop incredible HTML5 hybrid mobile appsMonaca
PhoneGap is an awesome tool for building mobile apps. The barrier to entry is low and allows more flexibility and creativity. Still, attempting to build a successful mobile app with PhoneGap can be daunting. The various types of devices, platforms, and even platform versions can be confusing. And even though PhoneGap allows you to use HTML, CSS and JavaScript to program, JavaScript in particular can present challenges for beginners.
However, things are getting better. CSS and Javascript are becoming more mature than ever, and many modern JS frameworks are now more focused on creating mobile apps than websites. Being a developer myself, I know the struggles and frustrations that can arise from HTML5 hybrid app development. In my talk, I will cover the exact tips and tricks you need to quickly master PhoneGap development. I’ll focus on getting started, and building a better UX. You’ll find out how and why PhoneGap is such an awesome tool for building mobile apps.
How to make Twitter app with PhoneGap/CordovaMonaca
This presentation is created for PhoneGap Meetup San Francisco, held on May 22, 2014. It describes how you can develop a Twitter client using PhoneGap/Cordova framework, and using Monaca as a development platform.
Includes source code with description. Uses Onsen UI CSS Components, jsOAuth, underscore, micro templating, and other techniques to develop a nice & beautiful UI.
For more details about Monaca, please come to the Website: http://monaca.mobi/
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。