Azore CFD
Azore is a software tool designed for computational fluid dynamics (CFD) that focuses on the analysis of fluid movement and thermal transfers. By utilizing CFD, engineers and scientists can numerically tackle a diverse array of problems related to fluid mechanics, thermal dynamics, and chemical interactions through computer simulations. Azore excels in modeling a variety of fluid dynamics scenarios, encompassing air, liquids, gases, and flows containing particles. Its applications are vast, including the modeling of liquid flow through piping systems and assessing water velocity profiles around submerged objects. Furthermore, Azore is adept at simulating the behavior of gases and air, allowing for the exploration of ambient air velocity patterns as they navigate around structures, as well as examining flow dynamics, heat transfer, and mechanical systems within enclosed spaces. This robust CFD software can effectively model nearly any incompressible fluid flow scenario, addressing challenges associated with conjugate heat transfer, species transport, and both steady-state and transient flow conditions. With such capabilities, Azore serves as an invaluable asset for professionals in various engineering and scientific fields requiring precise fluid dynamics simulations.
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SMS Storetraffic
Introducing intelligent, effective, and discreet People Counters and Analytics for the physical world.
Our innovative solution simplifies the process of deploying, capturing, analyzing, and reporting the foot traffic within any given location. Additionally, we offer the option to monitor and report occupancy levels in real-time.
We support a variety of sectors, including Retail, Education, Gaming, Religious Institutions, Corporate Offices, and more, helping them to understand and respond to their visitor trends.
For retailers, we provide a tailored package designed to evaluate traffic performance, encompassing metrics such as conversion rates and service quality. Our seamless integrations facilitate the combination of point-of-sale data with staffing information. Moreover, the Retail Equation simulator allows users to experiment with different scenarios to boost sales and serves as a valuable educational resource to comprehend the interplay between traffic, staffing, conversion rates, and service excellence. By leveraging these insights, businesses can make informed decisions to optimize their operations.
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ENCY Robot
ENCY Robot is a comprehensive offline programming solution encompassing CAD, CAM, and OLP functionalities, designed to deliver highly accurate toolpath calculations, facilitate the creation of digital twins, and manage advanced kinematics across various robotic applications such as milling, welding, painting, additive manufacturing, and pick-and-place tasks.
It stands out as an all-inclusive package that integrates design, technology setup, and toolpath calculations while supporting robots with any kinematic configuration. Additionally, it optimizes robot kinematics to avoid singularities and ensure collision-free movements. The platform features a zero-code digital twin builder for creating robotic cells effortlessly and includes high-quality 3D models of robots and pre-defined postprocessors from leading brands.
By utilizing ENCY Robot, users can design and simulate robotic operations with safety and efficiency, significantly enhancing productivity and minimizing the need for manual intervention in intricate production settings. This innovative solution ultimately transforms how robotic processes are executed, leading to streamlined workflows and improved operational outcomes.
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Apollo Autonomous Vehicle Platform
Various sensors such as LiDAR, cameras, and radar collect data about the surrounding environment of the vehicle. Utilizing sensor fusion technology, advanced perception algorithms are capable of accurately detecting, positioning, evaluating the velocity, and establishing the orientation of objects on the road in real-time. This autonomous perception framework is bolstered by Baidu's vast big data resources and deep learning expertise, complemented by an extensive collection of labeled driving data derived from actual driving experiences. Furthermore, the comprehensive deep-learning platform, along with GPU clusters, supports simulation, allowing for the virtual navigation of millions of kilometers each day through a range of real-world traffic and autonomous driving scenarios. This simulation service provides partners with a multitude of autonomous driving situations, enabling rapid testing, validation, and refinement of models while emphasizing safety and efficiency. In essence, this cutting-edge methodology not only improves the dependability of autonomous systems but also significantly hastens their development timelines, fostering innovation in the industry. As a result, the integration of these technologies sets a new standard for future advancements in autonomous driving.
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