Energy is one of the basic human needs. The Ethiopian government works extensively on hydropower generation. More than 35% of the generated energy is wasted due to a lack of technology in delivering it to the consumer. Most industries in Ethiopia have problems with proper energy use. There is a lack of awareness on the part of the customer that they will be charged for reactive power and pay a penalty for the low power factor. This technology reduces wasted reactive power and provides voltage balancing and harmonic filtering. Automatic Electric Power Regulation Devices (AEPRD) is an innovative technology that improves energy use efficiency through technological innovation by using the software design printing circuit board (PCB) and the programming language in C language for machine controlling the devices.

In the complex and ever-changing battlefield, detecting enemy movements behind walls before the start of combat is crucial. However, the wall-penetrating radar currently in use has revealed the following problems during prolonged usage: 1.High Cost,2.Large Size and Weight, 3.Slow Startup Speed.Implementation Plan The "Wall Pioneer – Behind-Wall Movement Detector" is a general-purpose observation device designed specifically for military units and anti-terrorism police forces. It employs three core technologies: microwave harmonic suppression, microflow sensor signal processing, and flexible mechanical linkage. By utilizing the principle that microwaves can penetrate non-metallic barriers, it detects the movement of objects behind walls, aiding combat units in determining the optimal timing for action to minimize casualties. Inspired by frontline needs and designed to serve frontline operations, this device bridges the gap between necessity and functionality.

Digital twins of manufacturing equipment based on 3D scanning can helps to provide exact data for designing agile tools for machining automation. Implemented methodic includes number of steps – from creation of digital twins library to recommendations for designing agile tools based on digital models of machines for reducing time of design and implementation of new automation technologies in manufacturing.

problem：At present, the spray suitable for Dendrobium planting on the market is expensive, and the drug residue affects the growth of crops and is seriously polluted, so a spray with low price, harmless and environmentally friendly is urgently needed.Implemented solution：We have developed a new type of Dendrobium Xianyue spray, which is low cost, simple to operate, good growth effect of Dendrobium, and chemical-free and healthy.

Trouble: 1. There are 15,000,000 deafblind people in the world. 2. Deafblind people cannot use gadgets and services for the blind that work with sound. 3. More than 75% of deafblind people have become deafblind due to ageing, and it is difficult for them to learn Braille. 4. Gadgets for the deafblind with Braille, cannot be used in motion. 5. No one in the world has yet managed to teach text literacy to a deafblind person from birth. Decision - Invention QWALPHABET ("Gerasimuk Tactile Communication System" patented).

The extreme natural and climatic conditions of the Arctic zone of the Russian Federation largely determine the complexity of navigation in the Arctic waters. This increases the value of obtaining accurate and timely forecasts of hydrometeorological and ice conditions. So, when making decisions when choosing a route, ship captains need to understand the state of the ice cover, namely, the ratio of different classes of ice, which determines the possibility of a vessel passing through this section. Decoding satellite images and highlighting ice classes of different structure and age in images based on the difference in their reflectivity, and as a result, the color in the image, is one of the ways to segment the ice cover. The task of decoding satellite images (semantic segmentation of the ice cover) can be solved using artificial intelligence algorithms. The service performs semantic segmentation of satellite images in accordance with 9 classes of objects: water and 8 classes of ice cover (initial types of ice, nilas, pancake, gray, gray-white, annual, drifting and solder). The service receives two satellite images (in HH and HV polarizations) of the same geographical and time reference. The result of segmentation is a single–channel image in which the areas corresponding to the same class are colored in the same color. To solve the problem of segmentation of the ice sheet, a neural network model based on the U-Net architecture was trained on 220 satellite images marked up by ice experts. In the process of developing the solution, optimal parameters of data preparation were selected (parameters of fragmentation, methods of combating class imbalance), hyperparameters of the architecture itself (number of layers, maps of hidden features) and its learning process (various loss functions, regularization methods, hyperparameters of learning were tested). As a result of experiments, the optimal option was selected, which is the basis of the service. The segmentation process is carried out in 3 stages: 1. The preprocessing of satellite images involves the conversion of sizes, resolutions and data formats. Next, the images are divided into small fragments (256*256 pixels) with an intersection equal to 224 pixels (7/8 of the fragment size). 2. The pre-trained neural network model U-Net processes all fragments obtained in the first step. The model assigns a probability distribution of belonging to the target classes to each pixel of the image. 3. The final stage of segmentation is the formation of the resulting map for all processed fragments. Since each pixel falls into several fragments during processing, we obtain a set of probability distributions, from which we select the class with the highest average probability for all predictions.

VizorLabs is a smart video analytics platform based on computer vision and AI. VizorLabs transforms existing surveillance infrastructure with intelligent computer vision software that can automatically monitor compliance with industrial safety rules, recognize human behavior, control the condition of premises and equipment (damage, overheating, fire, smoke), and analyze production processes. VizorLabs empowers industries to detect and analyze objects automatically 24/7 in the video feed from all existing cameras at once, allowing to reduce accidents, strengthen security, increase productivity, and eliminate downtime

The lack of detailed statistics and analytics in modern sports. Because of this, players and coaches lose up to 60% of the effectiveness of games and training, scouts make mistakes 2-3 times more often, club management loses money, all market players lose precious time making decisions, and the sport itself cannot reach a new level. The solution is a system for active tracking of athletes and collecting sports statistics and analytics of a new generation in real time - YouChip. We use tiny sensors on athletes and inside sports equipment, as well as equip the sports field with special "locators" and a pair of cameras, which allows us to offer the user more than 300 statistical indicators and 100+ analytical tools along with personalized recommendations based on AI and databases

The request of city residents to provide comfortable and safe waiting areas for urban public transport, insufficient information about the movement of public transport, the need to improve the convenience of using passenger transport using modern digital technologies. Comfortable and safe waiting areas for public transport have been created. The level of information about the work of public transport and the level of informing residents with social advertising has been increased. The possibility of planning the route and waiting time for public transport has been organized. Simplified payment system for public transport. Additional stimulation of the development of urban tourism using the infrastructure of the public transport system has been organized. An integrated approach to the implementation of this practice allowed us to obtain a synergistic effect and increase the satisfaction of residents and guests of the city with transport services.

There are many difficulties, and the most crucial one is that it is not convenient to communicate with others. Our product can achieve real-time conversion of sign language into text with just one mobile phone. The report of the 20th National Congress of the Communist Party of China pointed out the promotion of the integration of strategic emerging industries and clusters, the construction of new growth engines such as artificial intelligence, and the acceleration of the deep integration of digital economy and real economy. With the support and encouragement of the Party, it is an excellent time for the landing of artificial intelligence related products. The early stage of the project is a data collection process with low cost and can be controlled. Plan to achieve a return on investment within one year of product release. Our original intention is to serve people with disabilities. The release of sign language products is not our endpoint, but only our starting point. Our product has achieved some success domestically, and later expanded to various countries abroad, hoping that our product can promote the continuous progress of accessibility in the entire society.

The BRICS countries—Brazil, Russia, India, China, and South Africa—are among the fastest-growing economies. The ongoing development of industries, particularly in the energy sector, along with comprehensive digitalization, highlights the urgent need to train skilled specialists. Today, energy engineers must possess not only deep professional knowledge but also IT competencies to implement and maintain digital energy facilities. Key challenges in modern energy include: 1. **Insufficient Staffing**: There is a shortage of engineers and administrators who have completed training programs focused on the digital transformation of infrastructure and management systems. 2. **Lack of Data Exchange**: The absence of seamless data exchange between different information systems and departments within companies, as well as the complexity of information sharing with ministries and regulatory authorities, complicates operations, increases costs, and hinders the achievement of strategic goals. Training qualified specialists is crucial, given the growing demand for data integration and standardization. **Proposed Solution**: Establish an international competence center for the Common Information Model (CIM) to create a comprehensive training system for the energy sector of the future, aligned with digitalization objectives. CIM is a standardized format for information exchange that does not impose specific requirements on the structure of information storage. This flexibility allows for unique information models, provided they are compatible with the CIM format for data exchange. The implementation of CIM in the energy sector across BRICS countries offers several advantages: 1. **Data Standardization**: CIM standardizes the structure and format of data, simplifying information exchange between various systems and stakeholders in the energy industry. 2. **Improved Resource Management**: CIM enhances the management of energy system resources, increasing the reliability and efficiency of energy enterprises. 3. **System Integration**: CIM facilitates the integration of various information systems, improving coordination and reducing the likelihood of errors. 4. **Increased Transparency and Security**: CIM enhances transparency and security in the energy sector by ensuring that information is protected and accessible only to authorized personnel. 5. **Cost Reduction and Efficiency Improvement**: Utilizing CIM can lower the costs associated with developing and maintaining information systems while boosting the productivity and efficiency of energy companies.

The problems that can be solved: Low delivery efficiency: Traditional express delivery has low manual delivery efficiency during the "last mile" delivery process, which is prone to delays and poor customer experience. High labor costs: Manual delivery requires a large amount of manpower, especially during peak hours, which increases the cost pressure on enterprises. Traffic congestion: Urban traffic congestion makes it difficult for express delivery vehicles to deliver on time, sometimes resulting in package delays. Security risk: There is a risk of package loss or damage during manual delivery, which affects customer trust. Environmental impact: The traditional delivery mode using fuel vehicles causes environmental pollution and carbon emissions. Future Transportation: By monitoring and managing the driving range of unmanned vehicles in real-time, future traffic control and scheduling can be more efficiently carried out, optimizing the efficiency of urban traffic management. The adopted solution: Unmanned delivery vehicles: Develop intelligent unmanned delivery vehicles that utilize advanced autonomous driving technology and navigation systems to improve the efficiency of "last mile" delivery. Intelligent scheduling system: Build an intelligent scheduling platform based on big data, analyze order demand and traffic conditions in real time, optimize delivery routes, and alleviate the impact of traffic congestion. Multi mode delivery: Combining unmanned vehicles with other efficient delivery methods (such as electric bicycles, trucks, etc.) to flexibly respond to delivery needs in different regions and weather conditions. Monitoring and feedback mechanism: Install monitoring equipment on unmanned delivery vehicles to ensure the safety of packages, while establishing customer feedback mechanisms to improve service quality. Green delivery: Promote the use of electric unmanned vehicles to reduce environmental impact and contribute to sustainable development. Through the above plan, our project aims to improve the delivery efficiency and customer experience of the express delivery industry, reduce labor costs, achieve green and intelligent delivery, and to some extent promote technological innovation and development in related fields, contributing to future intelligent transportation and unmanned vehicle technology