Zyfra says it has developed an automated system using artificial intelligence (AI) to monitor the condition of excavator bucket teeth based on its machine vision BucketControl system. The system is designed to detect the presence or absence of excavator bucket crowns quickly and features functions to alert the excavator operator if a crown is lost or ceases to work. The application, developed jointly by the AI and Mining divisions of Zyfra, uses an on-board controller to acquire images from the camera, process and analyse them using internal software and sends a signal to the operator if a crown is lost or ceases to work. The wear of the tooth is also assessed, and when a critical value is reached, a notification is sent to the dispatcher, according to the company. This data is transmitted to the server in real time, Zyfra added.

In line with last year's forecasts, the AI market continues to grow steadily, and in addition to qualitative improvement in technologies, there is a further expansion of the areas in which Artificial Intelligence is being implemented, including such traditional industries as engineering, mining, and agriculture. The spread of AI is due to the fact that the technology has matured enough while continuing to evolve. Above all, we can expect a significant increase in the production of specialized computer chips. Market leaders like NVIDIA, AMD, ARM, and Qualcomm have already begun manufacturing processors optimized for speech recognition and computer vision. According to the experts, the AI chip market will grow by 30-40% this year, while research company Allied Market Research forecasts that the global market could grow to $91.185 billion by 2025.

NEW DELHI: India is among the most advanced countries in terms of development of Artificial Intelligence (AI) technologies for the Industrial Internet of Things (IIOT), according to a survey by Finnish AI-based solutions specialists Zyfra. The survey ranks the US first, followed by China, while India ranks 13th, just after Canada. The ranking is based on a study that examined the number and quality of scientific publications on the subject, a Zyfra statement said on Tuesday. It takes into account studies about AI in more than 200 countries and in the 50 most cited scientific magazines. The study has also highlighted the long gestation period required in India in bringing the research from paper to implementation stage.