Developing Digital Twin of Quick Service Drive Through Omniverse
Digitalstates serves the technology of Digital Twin to various industries, which includes the following:
- Oil and Gas
- Quick Service Restaurants
- Commercial Real Estate.
Here are some of the key reasons why Digitalstates has adopted the concept of the digital twin:
- Design and Development: Digital twins allow organizations to simulate, model, and optimize their products, systems, or processes before physical implementation. This helps in identifying design flaws, improving efficiency, and reducing costs.
- Performance Monitoring and Maintenance: Digital twins provide real-time monitoring of physical assets or systems. By collecting data from sensors and other sources, organizations can gain insights into the performance, condition, and health of their assets. This enables predictive maintenance, early fault detection, and optimization of maintenance schedules, leading to reduced downtime and improved reliability.
- Simulation and Testing: Digital twins facilitate virtual testing and simulation scenarios that may be difficult or costly to carry out in the physical world. This allows organizations to evaluate different operational scenarios, test changes, and assess the impact of various factors without disrupting real-world operations.
- Remote Monitoring and Control: Digital twins enable remote monitoring and control of assets, processes, or systems. This is particularly useful in industries such as energy, manufacturing, and infrastructure, where assets may be in remote or hazardous environments. Operators can access and control the digital twin from a central location, enhancing safety, efficiency, and productivity.
- Decision Support and Optimization: By integrating data analytics and machine learning techniques, digital twins can provide valuable insights and decision support tools. They can help optimize processes, predict outcomes, and suggest improvements based on historical data and real-time information.
- Training and Education: Digital twins offer a realistic and immersive environment for training and education purposes. They allow users to simulate complex scenarios, learn from virtual experiences, and acquire skills without the risks associated with physical assets or systems.
- Lifecycle Management: Digital twins can span the entire lifecycle of a product or system, from design and development to operation and maintenance. They enable organizations to track and manage assets throughout their lifecycle, facilitating better planning, resource allocation, and optimization.
Overall, digital twins provide a virtual representation of physical entities, enabling organizations to make informed decisions, improve performance, and drive innovation across various domains. Fast-food restaurants were among the first to embrace innovation, leveraging AI and other technologies to enhance their premier channels. One of the world’s largest fast-food restaurant chains, specializing in fried chicken, desired to do just that by embracing new technology and adding value to its customers and business. The customer wanted to utilize video analytics to monitor and gain insights into traffic flow in their drive-throughs. Additionally, the customer aimed to roll out the technology in 22 markets across the Middle East and Asia. This introduced several challenges in building a customized, scalable, and adaptable solution.
Digitalstates and the customer performed design and brainstorming workshops, resulting in a far greater understanding of customer requirements and solution capabilities. The vision became clearer, and it was evident that it was no longer just a simple video analytics problem; we were required to tackle challenges, including:
- Solving camera angle problems for different types of drive-throughs
- Number plate recognition for diverse types
- Camera viability issues due to time of day, weather, and other environmental factors
- Issues caused by various car speeds and driver behaviors.
Apart from the computer vision and video analytics challenges, there were business challenges that needed to be addressed:
- Planning for new branches
- Reducing wait times
- Personalizing the experience for customers
- Real-time remote visibility into operations
- Analytics and insights
- Understanding dynamic behavior defined for each component, including process delays, congestion, reliability, schedules, and more.
After performing some initial proof of concept using video analytics, it was proposed to build a Digital Twin solution, and NVIDIA Omniverse became the platform of choice as it addressed multiple problems, including synthetic data generation.
In recent years, the concept of digital twins has gained popularity across various industries, including manufacturing, architecture, and construction. A digital twin is a virtual replica of a physical object, system, or process that enables real-time monitoring, analysis, and simulation. With the advent of new technologies such as NVIDIA Omniverse, it is now possible to create digital twins of even more complex systems, such as drive-throughs, to optimize operations and enhance the customer experience.
The Process of Digitization and Simulation
Let’s try to understand how we addressed the challenge. We began by initially building a deep learning-based video analytics solution. The common process for building video analytics involves the following steps: