Day: March 5, 2024

Prakash Prabhu Chief Business Officer & Co-Founder, VisionBot Visual AI may seem like it’s everywhere now. But, in all likelihood, there is lot to be achieved. As AI tools improve in efficiency, industries already relying more on them to boost productivity and compliance. Let us explore what Visual AI can do for the Oil & Gas industry. Companies using AI saw the most value in manufacturing and risk management. Lately, they are seeing the most value in Operations, Marketing and Sales, Product and Service development, and Strategy. Automated Visual Inspection is rapidly entering the oil and gas industry, creating significant potential for innovation and growth. The integration of Visual AI in oil and gas holds immense promise for innovation and growth, promising to revolutionize how the industry operates. Companies can aim to create value using Visual AI instead of relying on traditional, humancentered monitoring and inspections. Emerging technology and breakthroughs in the field of computer vision and Edge AI allow the highly scalable use of distributed computer vision applications. Those applications are becoming possible because the workloads from computer vision and AI algorithms are moved from the cloud to the edge. network edge. With this on-device machine learning allows processing the video streams of distributed cameras in real-time, at high computational efficiency, it becomes possible to build mission-critical, large-scale computer vision systems with remote cameras connected to computing devices. Compared to conventional IoT sensors and low-power devices, cameras provide a contactless method that provides rich information about complex objects and situations. With computers that can see, it becomes possible to automate human tasks and accelerate processes, increase operational efficiency, and reduce human error or subjectivity. In the oil and gas sector, companies can adopt AI technologies to improve Operations, Safety and Reliability across the production and supply chain. This translates to autonomous processes, improving cost efficiencies, and reducing operational risks. Some of the process impacted by Visual AI include: Maintenance and service life prediction. Safety and compliance monitoring. Reliability & business continuity. Risk evaluation. Sustainability and environmental protection. Non-destructive testing and inspection. Analyze fatigue and corrosion of systems. Oil or Gas Pipeline Remote Inspection Assessing large-scale network of pipelines to determine their condition and health status poses great challenges to the operators. Edge based deep learning leverage computer vision models for the by extracting critical information from the visual data of remote cameras. DL models (e.g., R-CNN) are able to rapidly and accurately detect the damage location and level, where there is a high potential for large-scale oil/ gas pipeline assessment at both spatial and temporary scales over conventional models. Automatic Recognition of Analog Instruments Visual AI can be used to read analog gauges at power substations and other equipment. Cameras with edge based computer vision are used to automatically read oil level gauges, winding temperature gauges, and gas density gauges. DL vision algorithms use color segmentation to detect the position of the pointers and scale marks. Such applications work real-time, faster and more accurately than humans and help to avoid dangerous accidents and expensive interruptions. Leak Detection with Deep Learning Visual AI Models Visual AI can used to detect gas emissions using regular infrared cameras. The automated approach simplifies the leak detection analysis with very high accuracy, as high as 90-95%. Computer vision approaches for optical gas imaging with convolutional neural networks (CNN) require training with methane leak images to enable automatic detection. Visual Inspection for Corrosion Detection Corrosion is a major defect in structural systems. It has a significant economic impact and can pose safety risks if left untended. Inspection tasks that must be performed periodically are often carried out manually, sometimes in hazardous conditions. Current manual interpretation process is usually very expensive, time-consuming, and subjective. Deep learning methods can analyze the video images of cameras to automate inspection tasks. Vision AI models have been successfully applied in use cases for automatic rust detection leading to cost savings and faster, better decisionmaking of preventative or corrective measures based on quantitative insights at scale. As a leading Visual AI Company, VisionBot helps to leverage the latest in computer vision technology to help businesses and organizations automate processes, improve customer experiences, and gain valuable insights in to their operations. Connect with our experts to understand how companies are using VisionBot ™ Visual AI driven Computer Vision to strengthen security, safety and streamline operations. Get Started We welcome Technology Integrators and sector speciality VAR’s to become a VisionBot ™ channel partner, and discover the opportunity to offer a cutting-edge AI-powered computer vision solution to your customers. Partner  

With centralized access, the cameras are equipped to provide a complete 360-degree view videos of all critical crossings, offices, establishments of the towns as well as the main gate of the Ram Mandir, the perimeter, the entry and exit points of the Ram Mandir. The capability of this unified AI enabled platform helps data feeds coming across the holy land of Ayodhya with multi-tiered encryption between the cameras and the integrated command center to multiple viewing stations across, nullifying any hostile attack and data tampering. These surveillance devices further enable high-definition zoomin, with utmost clarity, to identify even the smallest of objects and recognise faces correctly. The AI-powered technology deployed by Mirasys (India) would further ensure efficient crowd management and estimation. Arindam Das Sarkar, Managing Director, Mirasys (India) elaborated how his company is leveraging technology to provide security ensuring data privacy, “With the consecration ceremony at the Ram Mandir, Ayodhya is slated to be one of the world’s most visited holy towns, witnessing influx of lakhs of pilgrims from all over. It is a matter of pride for Mirasys (India) to help enhance the security across the town, along with encrypted data, leveraging AI-powered unified Video Management Surveillance Technology. From hundreds of cameras all around and facial recognition system to crowd estimation and threshold alerts, queue management, hourly to daily devotee count etc, the Pran Pratishtha also marks a smart transformation of Ayodhya in terms of security, with cutting-edge AI Video Analytics and surveillance tech.” AI will play a great role in boosting the security of Ram Mandir and Ayodhya city. Even as the AI integrated platform will ensure that no corner of the city is left out of the ambit, crowd management becomes as important. AI based surveillance would equip the security personnel and authorities to notice even the smallest of disturbances for swift and timely action. Real time analysis of any threats or security lapse will be monitored to ensure smooth functioning of the event. Serpentine queues for the coveted darshan is expected to continue in Ayodhya, and the AI-based system deployed at the temple would play a major role in effective management of the same. For example if an area is designated to accommodate only 1000 people, officials concerned would be informed if the threshold is crossed under any circumstances, thereby avoiding the possibility of a situation like stampede. The data will be stored at a central location, which can be accessed by authorised personnel only, further ensuring that the data does not land in wrong hands. Mirasys (India) is a pioneer in the video surveillance and analytics industry, with esoteric expertise in cutting-edge use of AI technology, real-time analytics, object recognition and predictive insights, delivering unparalleled security and business intelligence with utmost accuracy. With strong focus on data privacy and ethical AI usage, Mirasys (India) has emerged as a trusted partner in the public & government domains, especially Smart & Safe City, Oil & Gas and Transportation. Mirasys (India) solutions are currently being used across various critical areas,such as holy places and judiciary, in addition to retail store chains & amp; outlets, and industries like manufacturing, logistics, educational institutes, sports, entertainment, banking, utility, healthcare etc. Started in 2018 by visionary industry leader and Sociopreneur Arindam Das Sarkar, Mirasys (India) stands out for its customer-centric approach, enabling customized solutions for specific client needs and ensuring a seamless and personalized experience, which serves the global product development as well.