会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 4. 发明申请
    • CAMERA-BASED MONITORING OF MACHINES WITH MOBILE MACHINE ELEMENTS FOR COLLISION PREVENTION
    • 用于冲突防护的机器移动机器的基于摄像机的监控
    • US20090222134A1
    • 2009-09-03
    • US12362733
    • 2009-01-30
    • Andre FrankeLars KruegerChristian Woehler
    • Andre FrankeLars KruegerChristian Woehler
    • G05B19/4061
    • G05B19/4061G05B2219/39098G05B2219/49137
    • In modern industrial robots which move at considerable speeds, collisions generally cause serious damage to the robots and the collision objects. This can lead to injuries and expensive production stoppages. In a method for collision-free interaction between a machine having mobile machine elements and objects in its vicinity, safety regions are established and monitored using the knowledge of the current position and the dynamic behavior. In particular, image data of the mobile machine element are recorded by means of an image acquisition system and are correlated with a database, which has been compiled in a training phase with image data of at least one mobile machine element. The database contains image data relating to a plurality of movement phases within the movement process of the machine. In the scope of correlating the currently recorded image data with this database, both the current position of the mobile machine element is ascertained and a future position, reachable within the stopping time, is estimated. The dynamic behavior of the machine in the event of collision risk is optimized on the basis of this estimation.
    • 在以相当大的速度移动的现代工业机器人中,碰撞通常会对机器人和碰撞物体造成严重损害。 这可能导致人身伤害和昂贵的生产停产。 在具有移动机器元件的机器和其附近的物体之间的无碰撞交互的方法中,使用当前位置和动态行为的知识来建立和监视安全区域。 特别地,通过图像采集系统记录移动机器元件的图像数据,并将其与已经在训练阶段编译的数据库相关联,该数据库具有至少一个移动机器元件的图像数据。 数据库包含与机器运动过程中的多个移动阶段有关的图像数据。 在将当前记录的图像数据与该数据库相关联的范围中,确定移动机器元件的当前位置,并且估计在停止时间内可到达的未来位置。 在碰撞风险的情况下机器的动态特性在此估计的基础上得到优化。
    • 5. 发明授权
    • Camera-based monitoring of machines with mobile machine elements for collision prevention
    • 具有移动机器元件的机器的基于摄像机的监控用于防止碰撞
    • US09122266B2
    • 2015-09-01
    • US12362733
    • 2009-01-30
    • Andre FrankeLars KruegerChristian Woehler
    • Andre FrankeLars KruegerChristian Woehler
    • G05B19/4061
    • G05B19/4061G05B2219/39098G05B2219/49137
    • In a method for collision-free interaction between a machine having mobile machine elements and objects in its vicinity, safety regions are established and monitored using the knowledge of the current position and the dynamic behavior. In particular, image data of the mobile machine element are recorded by means of an image acquisition system and are correlated with a database compiled in a training phase with image data of at least one mobile machine element. The database contains image data relating to a plurality of movement phases within the movement process of the machine. Using the database, both the current position of the mobile machine element is ascertained and a future position, reachable within the stopping time, is estimated. The dynamic behavior of the machine in the event of collision risk is optimized on the basis of this estimation.
    • 在具有移动机器元件的机器和其附近的物体之间的无碰撞交互的方法中,使用当前位置和动态行为的知识来建立和监视安全区域。 特别地,移动机器元件的图像数据通过图像采集系统被记录,并且与在至少一个移动机器元件的图像数据的训练阶段中编译的数据库相关。 数据库包含与机器运动过程中的多个移动阶段有关的图像数据。 使用数据库,确定移动机器元件的当前位置,并且估计在停止时间内可到达的未来位置。 在碰撞风险的情况下机器的动态特性在此估计的基础上得到优化。
    • 6. 发明申请
    • ACCURATE COMPARISON AND VALIDATION OF SINGLE NUCLEOTIDE VARIANTS
    • 准确的比较和验证单核苷酸变体
    • US20130245958A1
    • 2013-09-19
    • US13795492
    • 2013-03-12
    • Michael FORSTERAndre FRANKEAndreas KELLER
    • Michael FORSTERAndre FRANKEAndreas KELLER
    • G06F19/22
    • G16B30/00
    • A method is disclosed for validation of single nucleotide variants (SNV) in a sequence of interest. In at least one embodiment, the method includes: interrogating a BAM-file of the sequence of interest and a reference sequence file and producing a summary table for genomic coordinates of interest; generating a plurality of sequence reads from a sample of said sequence of interest; filtering sequence reads using a plurality of filter levels; extracting SNV counts for each strand for a genomic region of interest within the sequence of interest, resulting in ten SNV counts; for each genomic region of interest determining a rule based genotype decision and inferring a best genotype from the 10 counts; and creating a single consensus file for said sequence of interest including information of best genotype and a best quality for each genomic region of interest.
    • 公开了一种在感兴趣的序列中验证单核苷酸变体(SNV)的方法。 在至少一个实施例中,所述方法包括:询问感兴趣序列的BAM文件和参考序列文件,并产生用于感兴趣的基因组坐标的汇总表; 从所述感兴趣的序列的样本生成多个序列读数; 过滤序列使用多个滤波器级别读取; 提取感兴趣序列中感兴趣的基因组区域的每条链的SNV计数,得到十个SNV计数; 对于每个感兴趣的基因组区域,确定基于规则的基因型决定并从10个计数推断最佳基因型; 以及为所述感兴趣的序列创建单一的共同文件,包括针对感兴趣的每个基因组区域的最佳基因型和最佳质量的信息。