AI pilot projects launched by the Ministry of Transport, Communications and Information Technology in cooperation with other institutions in 2023

	Mission	Beneficiary	Implementing institution
1	Implementing a pilot project to identify vehicles authorized to enter food security warehouses
2	Implementation of a pilot project to identify adulterated food products, and rice was taken as a sample for application
3	Implementation of a pilot project to calculate the quantities of food imported and transported for consumption
4	Application of Internet of Things sensors to measure weather (temperature and humidity) in a manner that is compatible and compatible with the nature of food materials
5	Implementation of a pilot project to digitize land transport documents and maps
6	Implementation of a pilot project to apply generative artificial intelligence robotic speaker in NCSI
7	Generative AI Chatbot Pilot Project (WhatsApp)
8	Pilot project for a generative AI speaker (reading text, images, documents, and voice)
9	Pilot project for an on-site generative AI chatbot and its development into a mobile application
10	Advanced Agricultural Development from Space An Integrated Network Between Space, Air, Earth and Artificial Intelligence Artificial Intelligence and Satellites
11	Development of a prototype AI-based platform solution for the land management  digital transformation
12	Providing accurate statistics on the number of visitors, which helps organizations determine peak times, allocate resources more effectively, and identify the most crowded areas
13	Knowing and following up on the behavior of the reviewers Following up on the progress and behavior of the reviewers and those present in the halls
14	Utilizing the capabilities of artificial intelligence and Internet of Things (IoT) sensors for weather and climate monitoring in analyzing air purity and quality in mining areas
15	Detection of extracted quantities using LiDAR remote sensing technology and analyzing them with an artificial intelligence-based model
16	Using drone-based aerial imaging to obtain data on the nature and topography of mining sitess
17	The system aims to improve land transportation by monitoring truck traffic and economic efficiency using artificial intelligence
18	The system aims to enhance road transportation safety by verifying drivers and vehicles using artificial intelligence
19	The system aims to improve land transportation by monitoring truck weights to enhance economic efficiency using artificial intelligence
20	Using the latest technologies of artificial intelligence, deep learning and machine vision to improve the efficiency and quality of fish farms, by developing a system to automate the process of measuring biomass and monitoring fish behavior in order to improve production efficiency, determine harvest time and evaluate production economics

1. Mohsin Haider Darwish Company focused on using computer vision technologies to recognize vehicles and link them with data. They employed vision technology to inspect food items, such as rice, to detect adulteration. They also successfully used vision technology to calculate quantities of incoming and transported food items, along with temperature and humidity sensors and system alerts to maintain the quality of stored goods.
2. Schlumberger Oman successfully employed artificial intelligence techniques in early 2023 to digitize paper and scanned data, converting it into scheduled digital data. This facilitated better connectivity among data, providing a comprehensive overview of all transportation projects. Notably, the experience included photographic files from previously executed projects in Nizwa. The initiative exceeded expectations by presenting data in an organized manner, allowing stakeholders to access all project details, thus facilitating improvements and maintenance while keeping a record of all roads.
3. Netways Oman successfully utilized generative artificial intelligence using data from the National Centre for Statistics and Information’s data portal to design a chatbot for user inquiries. This initiative received positive feedback from stakeholders at the national center, highlighting the potential for developing the portal and enhancing public interaction with statistical services through chatbot technologies.
4. TecKnow for Consultancy uniquely adopted generative artificial intelligence linked to WhatsApp, facilitating information retrieval from the electronic government services portal. The application integrates with the services offered by the portal, enabling the public to access information through conversations on WhatsApp.
5. EnterprisesBarne from India effectively employed generative artificial intelligence to serve the public via automated conversations. This initiative directed the chatbot to pull required data from the Omanuna portal, presenting it to users in an easily accessible manner, instead of relying on traditional web browsing.
6. Inmaa Information Technology implemented an experiment using generative artificial intelligence on the Omanuna portal, directing the chatbot to extract required information from the available data. The company designed a unique application to serve the public, making it easy for users to install the progra
7. Oman Lens, which has contributed to enhancing food security and self-sufficiency in the Sultanate of Oman, ensuring appropriate integration between agricultural management and resource management with the development of the economy, while seeking to protect lands suitable for agricultural development and coastal waters suitable for fisheries.
8. Al-Hadara Digital Solutions and Investment Company, which contributed to developing a prototype of an AI-based platform to digitally transform land management. The project includes integrated stages, and aims to improve the accuracy and effectiveness of land management by integrating aerial reconnaissance technologies with artificial intelligence.
9. Skyla Company The Ministry of Transport and Communications has experimented with using artificial intelligence technologies in the “Skyla Monitoring and Analysis System in Service Halls and Public Places” to support public safety and security initiatives, improve the efficiency of service provision, and meet citizens’ needs. The system provides a range of advanced services that make it a useful tool for institutions, most notably: providing accurate statistics on the number of visitors, which helps institutions determine peak times and allocate resources more effectively, identifying the most crowded areas and highlighting “hot spots,” which contributes to improving operations and enhancing customer experience, in addition to detecting gathering areas and resolving friction points, and providing a rapid response in emergency situations, which enhances public safety. These advanced services contribute to providing institutions with effective tools to improve planning and operation and focus on improving user experience, which positively reflects on business results.