In the ever-changing world of industrial operations, artificial intelligence (AI) and unmanned aerial vehicles (UAVs) form part of the most groundbreaking developments aimed at fostering innovation and efficiency. A new development in this area involves UAVs with data processing systems built on AI technology that has completely changed how industrial inspections and security operations are carried out, thus dealing with problems like human error, operational safety, and real-time decision-making.
Arthur Abakumov has played a significant role in advancing these frontiers through his groundbreaking work, which effectively positions him as one of the leaders of this technological revolution. His projects, which include the development of UAV-based complexes, comprehensive online proctoring systems, and intelligent security solutions, have set new standards across various sectors. With a vast knowledge of computer vision and AI-based systems, Abakumov has been behind many initiatives that have brought about radical changes within industrial practices, leading to improved safety levels and operational efficiencies.
Abakumov's journey from being just a technical director for industrial security systems to currently being the head of the online proctoring project at Satbayev University, located in Kazakhstan, shows how far he has come, thereby underscoring his crucial role in shaping the landscape of future industrial operations. In this article, we explore the challenges faced by industry players, the advanced features introduced by his projects, and the broader implications resulting from the integration of AI and UAV technologies for enterprises engaged in different sectors of the economy.
UAV-Based Complexes for Industrial Operations
The great work done by Abakumov set up a new level of using UAV-based complexes in industrial operations. Prior to his inventions, the market did not have industrial UAV systems with the required sensors and AI-fused signal processing capability. These UAV complexes are to be used in severe environments and are supposed to work as systems for collecting and analyzing information.
Conventional methods of industrial process monitoring often relied on manual inspection, which was prone to errors and time-consuming, but they have now been automated with the help of UAV systems developed by Abakumov. "When we just began our activities with unmanned aerial vehicles, there were no manufacturers who could offer such a UAV complex equipped with necessary sensors onboard an AI-based incoming information processing system giving hints to operators or performing flight and processing in completely autonomous mode," Abakumov recalls. Moreover, hazardous area inspections put human lives at great risk. Now, this task can be done from a distance through these drones, thereby ensuring safety standards while minimizing organizational liabilities. Real-time analysis is made possible through the integration of AI-based data processing, leading to faster response times during industrial operations execution.
Comprehensive Online Proctoring System
Abakumov's comprehensive online proctoring system has transformed examination monitoring and integrity maintenance within the academic sector. This particular method employs patented algorithms for preprocessing data using neural networks, which reduce false positives and, consequently, enable automated decision-making.
Traditional methods of proctoring require a large amount of manpower, which results in high labor costs and logistical difficulties. With Abakumov's system, the workload on proctors is reduced by 90%, thereby making the process lean and lowering expenses by more than half. "Adoption of this system normalized grades and gave the teacher an opportunity to build educational processes on the basis of real assimilation of passed material through regular testing," notes Abakumov. The great precision of the system ensures reliability in examination results, which is important for maintaining academic excellence. Further integrity comes from automated decision-making that eliminates human bias or mistakes. As educational institutions increase their capacity to offer online education, there is a need for effective proctoring solutions. Abakumov's system can handle many students at once; thus, being useful in times when dealing with large numbers becomes inevitable in modern education.
"The implementation of the system in industrial operations at the National Research Technical University has proven the effectiveness of online proctoring systems across a large number of tests and exams conducted," Abakumov notes. "Additionally, the implementation of this system allowed the university to be the only one in Kazakhstan to obtain a license for online education. During the operation, it was decided to include an automated decision-making system, patented algorithms that enabled the high-precision detection of both gross violations and breaches of academic integrity principles, and a way of automatically terminating the exam without the involvement of a proctor."
Smart Security Systems
Major shortcomings have been fixed by Abakumov's development of smart security systems targeted at industrial security weaknesses. These algorithms are based on advanced ones, while the "dark screen" principle allows operators to monitor vast surveillance networks effectively.
Security operators often get tired and lose attention when they have to monitor systems for prolonged periods. To keep these operators attentive and efficient, Abakumov's system only gives emphasis to important security events. "Research and practice at facilities showed that operators 'lose' most of the picture after 30 minutes of work in front of the screen," remarks Abakumov. "In simple terms, the operator stops responding to what is happening on the screen." False alarms are a common occurrence with traditional security systems, which can lead to complacency and subsequently miss out on real threats. However, the algorithms developed by Abakumov for matching data from the cloud of various sensors have allowed for the generation of only confirmed events, preventing the operator from being distracted by numerous false activations of the system. Using intelligent processing algorithms that reduce false positives ensures they can respond quickly enough to real threats. It can be cumbersome to manage security at large industrial sites that have multiple cameras and sensors. Still, Abakumov's system does this by integrating different sources of data, thereby creating a unified and easily comprehensible view of security matters.
UAV Production and AI Integration
Abakumov has contributed a lot towards UAV production through his affiliation with Satbayev University, where he also works on AI integration projects. "My main aim is to make sure their laboratory designs UAVs that are user-friendly while still being capable of autonomous operation using advanced computer vision and artificial intelligence technologies," he says.
Today, one of Abakumov's most interesting and innovative projects through such partnerships is the laboratory-developed complex based on UAVs and AI for ensuring radiation and industrial safety at uranium mining enterprises. At the time of the complex's development, there was no data on the economic effect of implementing UAVs and AI in uranium mining production. However, studies of the economic effect of the implementation of systems based on unmanned aerial vehicles and artificial intelligence in the extraction and transportation of oil and gas suggest that the figures can reach 20–30% of the annual costs of operating engineering structures. Savings are achieved by increasing labor safety, reducing losses from pipe damage and other structures, promptly identifying problems, and reducing the frequency of repair crew dispatches.
"The use of unmanned aerial complexes for monitoring capital construction will allow reducing costs for construction control by 60–70%, reducing violations of work performance requirements by 30%, and doubling the timeliness of control," Abakumov states. "When using unmanned aerial complexes equipped with radiation control sensors during reclamation work control, the efficiency (time and resources spent) and expected effect were more than 300% compared to traditional survey methods. Subsequently, during the pilot industrial operation, we were able to confirm these figures." The developed UAV and incoming data processing system allowed for solving the following tasks of uranium mining production: control of reclamation works; control of tailings storage facilities by methods of measuring near-surface radiation background (alpha, gamma, and beta radiation) to identify anomalies in real-time; radiation control and sampling for analysis; identification of acid spills; control of pipes supplying acid for deformations and other defects; construction control with information transfer to the IS; asset inventory and safety in production; automated overflight of the geotechnological field using UAVs for the external inspection of blocks and pumping-injection wells; and automated transmission of AI-processed measurement results to responsible persons.
Before now, demanding special skills were required by conventional unmanned aerial vehicles, hence limiting their use. However, thanks to Abakumov's AI-driven control systems, anyone can now operate a drone without much difficulty, even if they lack experience or training in piloting drones. In addition, these drones reduce the chances of data getting manipulated during processing since AI is responsible for that, thus making them reliable sources of information and making accurate decisions too. Furthermore, these advanced artificial intelligence setups allow unmanned aerial vehicles to perform tasks without human intervention, thereby saving on labor costs while also minimizing errors associated with manual supervision of UAVs by humans.
Arthur Abakumov's breakthrough initiatives have had far-reaching effects on how things are done within industries. This is because they solve major problems while at the same time improving efficiency levels and safety standards. His UAV-based complexes, online proctoring systems, and intelligent security solutions define how innovative technology can address practical challenges and propel progress across various sectors.
