Augmented Reality

The real world with other eyes.

Augmented Reality the real world with different eyes. Augmented Reality (AR) is a technology that allows us to superimpose virtual elements on our vision of reality.

Augmented reality (AR) is the term used to describe the set of technologies that allow a user to visualize part of the real world through a technological device with graphic information added by this device. This device or set of devices adds virtual information to the already existing physical information; that is, a virtual synthetic part to the real one. In this way, tangible physical elements are combined with virtual elements, thus creating an augmented reality in real time.

Overview

Augmented Reality (AR) is a rapidly growing technology that blends digital information with the physical world, creating immersive and interactive experiences. Here are some pieces of advice regarding AR implementation and its importance:

Understand the Potential: Before implementing AR, it's essential to understand its potential applications and benefits across various industries. AR can enhance customer experiences, improve training and education, streamline operations, and enable innovative marketing strategies.
Define Clear Objectives: Identify clear objectives and goals for implementing AR. Whether it's increasing customer engagement, improving productivity, or enhancing learning outcomes, having a clear vision will guide your AR implementation strategy.
Choose the Right Platform: Selecting the right AR platform or software is crucial for successful implementation. Consider factors such as ease of use, compatibility with your existing systems, scalability, and support for future updates and enhancements.
Design User-Centric Experiences: Focus on designing AR experiences that are intuitive, user-friendly, and relevant to your target audience. Consider factors such as user interface design, interactive elements, and accessibility to ensure a positive user experience.
Ensure Technical Readiness: Assess your technical infrastructure and ensure that it can support AR implementation. This includes considerations such as hardware compatibility, network bandwidth, data security, and integration with backend systems.
Train and Educate Users: Provide training and educational resources to users to help them understand how to interact with AR experiences effectively. Clear instructions, tutorials, and support channels can enhance user adoption and satisfaction.
Measure and Analyze Performance: Implement analytics tools to track the performance and impact of your AR initiatives. Measure metrics such as engagement rates, user feedback, ROI, and business outcomes to evaluate the success of your implementation and make data-driven decisions.
Stay Updated with Trends: AR technology is constantly evolving, with new features, capabilities, and trends emerging regularly. Stay updated with the latest developments in AR technology and industry best practices to optimize your implementation and stay competitive.

Importancia de RA para el usuario final:

Enhanced User Engagement: AR creates immersive and interactive experiences that captivate users and drive higher engagement levels compared to traditional media.
Improved Learning and Training: AR can be used to enhance learning and training programs by providing interactive simulations, virtual labs, and on-the-job guidance.
Innovative Marketing and Sales: AR enables innovative marketing campaigns, product visualizations, and virtual try-on experiences that can boost brand awareness, customer engagement, and sales.
Operational Efficiency: AR can streamline processes, improve productivity, and reduce errors by providing real-time information, guidance, and visualization tools to employees.
Differentiation and Competitive Advantage: Implementing AR can differentiate your brand, products, and services in the market, providing a competitive advantage and attracting tech-savvy consumers.

By strategically implementing AR and understanding its importance, businesses can unlock new opportunities, improve customer experiences, and drive innovation in various sectors.

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Projects in analysis and design

We help agricultural companies maintain the traceability of their products, through semi-autonomous cloud and mobile applications.

When doing the engineering of the project, I realized that I can manage the traceability of any agricultural product, as well as its subsequent transformation processes, using machine learning.

In an agricultural process and its distribution chain, the application will be used mostly by agricultural workers and processing plant operators, as well as by financial and commercial executives.

A large part of traceability is learning about the control of processes and tasks that must be executed and controlled at each point of production in a farm field and commercial sector.

Large exporters must ensure food safety when exporting to regulated markets such as the European economic community.

Traceability is risk management to minimize and control food safety hazards. Each operator in the production chain is responsible for their traceability system.

According to European and American food control laws, they declare that traceability and self-control constitute one of the basic principles of food safety, and define the responsibilities of economic operators and the competent authorities in this area.

The Alimentarius Codex states that the controls (self-controls) that food companies must apply to guarantee the healthiness of the products they produce or market must be based on the hazard analysis and critical control points (HACCP) system. This HACCP system allows the identification, evaluation and control of significant food safety hazards.

The codex alimentarius classifies traceability as a prerequisite.

A digital world.

According to the World Economic Forum (WEF), the 4th industrial revolution is a digital revolution that merges technologies between the physical, digital and biological spheres.

Augmented reality (AR, VR), artificial intelligence (AI_), and the internet of things (IOT) accelerate the path towards digitalization.

The Internet of Things (IOT) is a system of computational, mechanical, digital devices, objects, animals or people. interrelated, with the ability to transfer information over the network without human intervention.

AI, also called machine intelligence, is intelligence demonstrated by machines, in contrast to human intelligence.

Machines (any type of computer) learn from information.

Machine Learning (ML) is the scientific study of algorithms and statistical models that computer systems used progressively to improve their performance on a specific task. These algorithms build mathematical models of information to predict or make decisions, without being explicitly programmed to perform said task.

These algorithms are used to filter email, detect network intruders, understand images and videos, among many other applications.

Augmented Reality the real world with different eyes. Augmented Reality (AR) is a technology that allows us to superimpose virtual elements on our vision of reality.

Augmented reality (AR) is the term used to describe the set of technologies that allow a user to visualize part of the real world through a technological device with graphic information added by this device. This device or set of devices adds virtual information to the existing physical information; that is, a virtual synthetic part to the real one. In this way, tangible physical elements are combined with elements virtual ones, thus creating an augmented reality in real time.

The real world with other eyes.

Overview

A digital world.

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