
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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SPEC Innovations offers a premier model-based systems engineering solution aimed at helping your team accelerate time-to-market, lower expenses, and reduce risks, even when dealing with the most intricate systems. This solution is available in both cloud-based and on-premise formats, featuring an easy-to-use graphical interface that can be accessed via any current web browser.
Innoslate provides an extensive range of lifecycle capabilities, which include:
• Management of Requirements
• Document Control
• System Modeling
• Simulation of Discrete Events
• Monte Carlo Analysis
• Creation of DoDAF Models and Views
• Management of Databases
• Test Management equipped with comprehensive reports, status updates, outcomes, and additional features
• Real-Time Collaboration
Additionally, it encompasses numerous other functionalities to enhance workflow efficiency.
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Analytic Solver
Analytic Solver Optimization provides full compatibility with the Excel Solver and is adept at tackling various traditional optimization problems without uncertainty, regardless of their size or complexity. Its distinguishing feature lies in its ability to algebraically analyze the structure of your model while harnessing the complete processing power of multiple cores available on your computer. This tool can efficiently solve nonlinear models that are up to ten times larger and linear models that can be forty times larger than those manageable by the Excel Solver, resulting in significantly quicker solutions and the ability to incorporate Solver Engines capable of handling millions of variables. Furthermore, Analytic Solver Simulation offers a highly intuitive yet powerful platform for conducting Monte Carlo simulations, performing risk analysis, creating decision trees, and optimizing simulations, all while utilizing Frontline’s advanced Evolutionary Solver. With an extensive selection of 60 probability distributions, including compound distributions, automatic fitting, rank-order correlations, and copula-based correlations, as well as 80 statistical measures, various risk assessments, Six Sigma functions, and the potential for multiple parameterized simulations, it emerges as a comprehensive resource for intricate analytical requirements. This rich array of features guarantees that users can conduct thorough analyses efficiently and accurately, solidifying its status as an essential tool in both optimization and simulation fields. Ultimately, the versatility and power of Analytic Solver make it a go-to choice for professionals seeking to enhance their analytical capabilities.
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Yade
Yade is an adaptable and open-source platform designed for discrete numerical modeling, particularly through the Discrete Element Method. Its primary computational components are crafted in C++, which supports a versatile object model that allows for the independent implementation of new algorithms and interfaces. Python is utilized for efficiently setting up scenes, managing simulations, executing postprocessing tasks, and troubleshooting. This framework is ideal for both researchers and engineers who need the capability to design, run, analyze, modify, and enhance particle-based simulations via scripts, interactive commands, graphical interfaces, and reusable elements. Users can create simulations using dedicated generators or directly through Python scripts, providing significant flexibility in crafting bespoke models, importing geometries, reusing code, and controlling the entire simulation workflow. Each simulation is encapsulated in a scene that includes bodies, their interactions, and the resultant forces, with bodies defined by their geometrical shape, material attributes, and state variables. Furthermore, Yade's structure encourages collaboration and the sharing of innovations within the research community, fostering ongoing enhancements in simulation methodologies. This collaborative aspect not only boosts individual projects but also contributes to the collective knowledge and advancement in the field of discrete numerical modeling.
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