Thank you, Andrew. We continue to be told by our current customers, potential customers, regulators, and labor unions that our railcar inspection portal is best in class in terms of performance, reliability, and standardization of the hardware, software, IT infrastructure, and artificial intelligence. We have shown the technology to a significant number of car manufacturers, owners, and shippers, and the audience is at first stunned by the capability, and then the conversation turns how to use this data, which to our knowledge has never previously been available, how it can be used to increase overall return on investment in terms of safety, cost of risk, maintenance efficiencies, and improvement to velocity and dwell metrics. Recently, I met with a senior leadership team for our large passenger customer, where they’ve been using the data from a subscription from several portals and are very excited by the excellent results they’ve received thus far. We anticipate this customer will continue to expand the use of this technology in the future. In 2023, we were requested to show the technology to more than 30 congressmen and senators on Capitol Hill and several state legislators and governors. We have also demonstrated the technology to the national leadership of Mechanical Carmen, who strongly believe this tool would greatly benefit rail safety when used by qualified mechanical personnel. We have also demonstrated our technology to the Customs and Border Patrol Agency and have shown them where we can discover suspected illegal riders with our machine vision and artificial intelligence detections. They are keen to use this solution to assist with the challenges at the border, and it can be used to increase CBP officers’ safety and help railroads get across the border faster. Our challenge is to turn that positive reaction into contracts that grow revenue and profits. Over the last three and a half years, Duos has significantly improved our technical reliability, installation speed, and responsiveness to our customers. We’ve made major advances to our artificial intelligence portfolio, which has now been adopted by all of our current customers. We have also dramatically increased the computing speed at the edge for our artificial intelligence detections and making the results available in 60 seconds or less, which is much faster than our competitors and enables immediate safety notifications for locomotive engineers and dispatchers. So, we have previously discussed diversifying our business to further enhance our position as a machine vision and artificial intelligence company into other verticals. We currently operate 13 edge data centers with our railcar inspection portals that enable extremely fast computing power and artificial intelligence inferencing, which the industry calls AI at the Edge. In fact, last year, we won an internal fast computing international sales competition sponsored by Dell Technologies, where we beat out all teams to include a well-known large defense contractor and another company that deploys satellites in the space. Tune in to see media that has been or will be released by Dell Technologies and NVIDIA that discusses our advances in computing power at the edge and our partnership in general. Given this expertise and partnering with Dell Technologies and NVIDIA, we are in discussions with several companies outside the rail industry to use our knowledge and expertise to support their edge computing requirements, given the massive demand for artificial intelligence, computing, and 5G rollout. This is aligned with our strategy to be an important part of the overall AI value chain. Earlier this year, we issued a press release announcing that the U.S. patent and trademark office granted us a patent for use of artificial intelligence to detect defects in trains and methods to use. This patent is important in several respects. Not only does it recognize our AI methodology, but it also covers how we acquire, compute, and present the data with our railcar inspection port. The granting of this patent shows the significant accomplishments and value of our hardware, software, IT, and artificial intelligence teams. We have also made progress in shifting our revenue model to become more software, artificial intelligence, and services focused. Our recently signed deals with two major railroads for AI subscription and support services contracts is just the beginning. I believe a trend for other operators to engage us to provide automated inspections of railcars. As a data point, our technology conducted scans on more than 8.5 million railcars last year. That translates to 665,000 unique railcars for approximately 40% of the total freight car population in North America. We continue to invest in research and development, and we’ll release a number of new technologies in 2024, including, but not limited to, a new version of our world-class Centraco platform, which is the software user interface that the mechanical car inspectors use to virtually inspect railcars. Centraco was originally designed to be the hub and interface for sensor-based systems, and in the last three years, it has been extensively updated and hardened. I’ll have more to say about this in future calls, but it’s safe to say that the new version will be an important component in the generative AI value chain, supporting a large number of deployed algorithms which are now in operation with all of our customers. In some cases, these automated detections through the portals and machine vision systems are being used to obtain regulatory layers. We are also now creating generative artificial intelligence to strengthen the training sets that make our AI use cases faster and more reliable. As previously reported, we appointed Chris King as our Chief Commercial Officer. Chris worked for me as a Chief Commercial Officer at APR Energy, and he was a key leader responsible for growing that business from $225 million in revenue in 2016 to more than $600 million in revenue in 2019. He has significant experience closing deals, and he’s having a very positive impact here at Duos. Our current backlog remains steady at around $6.6 million, and we are engaged in more than $100 million of opportunities that we expect to drive our growth both this year and beyond. As part of that opportunity set, we are progressing in talks to build the first of several Duos-owned portals from which to sell data subscriptions located at heavily trafficked railcar interchange points in the United States. Furthermore, we have also identified or are in discussions with several large telecommunications companies to deploy its data centers in support of the AI infrastructure support chain. On our last call, I outlined the risks to our plans, and it’s worth reviewing them at this time. The primary risks continue to be project delays out of our control and timing of revenue recognition with current customers and the slow adoption of this technology with new customers in the rail sector. We will continue to press forward into the rail sector, which we know will adopt our technology at a large scale, but also initiate efforts to diversify our offerings into the broader AI value chain. In closing, I want to highlight that I believe our company has a leadership position in the rail sector with machine vision and AI wayside detection. We have developed a significant opportunity with our edge data centers and other technology to provide additional value in the broader AI value chain. We will continue our efforts to transition from a CapEx business to a recurring revenue business in the coming 12 months. I’d like to thank our current customers, which includes Amtrak, Canadian National, CPKC, CSX, Ferromex, Chicago Metro, and L.A. Metro for their continued contract renewals. I also want to thank our long-term shareholders for their financial support, which has been critical to our success. I believe that our company is in a great position to significantly grow in value despite our current financial results. Thank you for your time, and we’ll open the call for your questions. Operator, please provide the appropriate instructions.