A meeting on agricultural sector development coordination was held yesterday morning at the meeting hall of the Union Minister’s Office of the Ministry of Agriculture, Livestock, and Irrigation. It was attended by Union Minister U Min Naung, deputy ministers, permanent secretaries, directors-general of the departments, officials, heads of regional and state agriculture departments, heads of oil crop special zones, and heads of training schools. During the meeting, the Union minister delivered a speech stating that the government has formulated policies for the development of the agricultural sector to ensure domestic food security, increase export production, and boost the national economy. He also mentioned that the needs of all sectors are being addressed. In efforts to significantly improve agricultural production, the performance of the heads of the regional, state, district, and township agriculture departments — who work closely with farmers — is crucial. Therefore, it is necessary to implement measures to effectively enhance farmers’ interest in farming, including improving crop quality, strengthening the market, fetching good prices, and focusing on seed, soil, water, and technology-related activities. The deputy ministers then discussed ways to promote cooperation between relevant departments for the development of the agricultural sector, ensure strict compliance with financial regulations, enforce the rental of departmental buildings following procedures, and effectively utilize digital communication technology to ensure continuous interaction between civil servants, experts, researchers, and farmers. The permanent secretary and directors-general of the departments continued the discussion by presenting issues related to achieving target yields of major crops, including rice and oil crops, expanding the cultivation of industrial raw materials and market crops, and ensuring the accuracy of basic statistics on acreage and yield by crop. The Union minister delivered a concluding speech. — MNA/TKO
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Almost every discussion in India public sphere which centres around erosion in life values is attributed to “such things are ought to be taught in schools, colleges and universities.” It is a well-prevailing thought now to expect that all sorts of learnings, essential to live a cultured life in harmony with nature, should become a part of curriculum and taught at educational institutions to make learning holistic and value based. Be it environmental education, cultural studies, women studies, folklores and dances, dietary system, rural skills, human and nature interaction, Indian knowledge system, universal human values, Indic studies, religious studies, etc. However, the canvas of curricular learning has increased exponentially. New disciplines of learning, especially technology based- like AI, have emerged, which are to be necessarily taught across disciplines. The boundaries between the curricular, co-curricular and extra-curricular learnings are also disappearing and several learnings, which were earlier parts of the latter two, have been integrated with curricular learning. As a result, curricula are becoming burdensome with a large number of courses packed with learning modules. Whereas, the thrust of New Education Policy (NEP) 2020 is on the process of learning rather than quantum of learning. Moreover, purpose of education has shifted from rote-learning to experiential learning, essential for inculcating critical thinking and creativity. This can be maximised in a stress-free and joyful learning ecosystem conducive to deeper learning experiences. This requires that curriculum and learning modules thereon have to be lean and thin to make learning engaging, immersive and reflective for cultivating minds. In fact, enough time is a must for learners to assimilate learning and to appreciate its application potential. In the past, there used to be three strong institutions of learning, namely, family, society and educational institutions per se. Joint families acted as catalysts of learning in real-life situations. Skill sets pertaining to sanskaras, cultural traditions, patriotism, communication skills, fellow-feeling, compassion, collaboration, co-operation, nature centric lifestyle, sharing of resources, equal opportunity for all, judicious use of resources, sustainable development, etc. were taught in the joint families in informal settings. The stories narrated by the grandmothers from the scriptures were a great source of ethics and morals. Gradually, we have drifted away from the joint family system under the influence of “Western” lifestyle and values. Unitary families which replaced joint families are also slowly poached upon by an emerging social order called “live-in relationship”. Instead of family as a unit, now individuals consider themselves as a unit of the Bharatiya society. As such, character building education that was imparted in the families free of cost and in homely, informal, vibrant and holistic learning environment, is now ought to be imparted in the educational institutions. Small kids, who essentially need motherly care and homely environment, are kept at the crèches immediately after the tender age to two to mend their own ways and to learn themselves, under the supervision of hired professionals who normally teach “don’t do this or that”. Both the spouses have to be in professional jobs as our needs have mushroomed and a single earning member is not enough to satisfy our endless desires, and for the so-called quality life. It is well-settled fact that ethic values imbibed in the early childhood lay foundation for life-long learning. Society, especially the “mohallas”, were second learning centres. Children used to learn the cultural traits, social norms and best practices prevailed therein under the watchful eyes of elderly persons. Team spirit and co-operative thought process used to be developed through indigenous games, traditions and practices. Extension of relationships with the people in the neighbourhood laid solid foundation for cohesion among families, brotherhood and spirit of “Vasudhaiv Kutumbakum”. Owing to busy and individualistic lifestyle, however, symbiotic relationship with neighbourhood has also suffered greatly. Now, even we don’t know about our immediate neighbours and are largely unconcerned about the developments happening around us. Since we are social beings, our disconnect with the surroundings will not bring any good to humanity. Precisely for this reason, the NEP lays emphasis on early childhood education. Only government efforts are not enough to accomplish this task. We need to revive family and society as pivotal institutions of learning to make it holistic and lessen the burden of learnings in the educational institutions. Indian knowledge system and universal human values are two of the many critical components of holistic learning. Cultural traits of the family and society have huge impact on learning in schools, colleges and universities, and there are no short-cuts. We ought to develop the culture of sound civilisational discourse at homes in joint family ecosystem and neighbourhood to secure future of our younger generations and of the nation. mzurpt@gmail.com (The writer is the V-C of Central University of Punjab, Bathinda)Cutting in line? American Airlines’ new boarding tech might stop you at now over 100 airports
NEW YORK , Nov. 22, 2024 /PRNewswire/ -- Report with market evolution powered by AI - The global machine vision (MV) camera market size is estimated to grow by USD 1.74 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 9.31% during the forecast period. Increased demand in non-industrial sectors is driving market growth, with a trend towards augmented demand for smart cameras. However, high cost of implementation poses a challenge.Key market players include Adimec Advanced Image Systems bv, Alpha MOS, AMETEK Inc., Banner Engineering Corp., Basler AG, Baumer Holding AG, Cognex Corp., Datalogic SpA, Decision Technology LLC, Hangzhou Hikvision Digital Technology Co. Ltd., Hitachi Ltd., Intel Corp., JAI AS, Keyence Corp., National Instruments Corp., OMRON Corp., SICK AG, Sony Group Corp., Teledyne Technologies Inc., and TKH Group NV. Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF Market Driver Machine Vision (MV) cameras, also known as machine vision cameras, are essential tools in various industries for tasks like position guidance, measurement, identification, and pattern recognition. Smart cameras and PC-based cameras lead the market, with wireless, wearable, and UAV-based cameras gaining traction. Trends include automation in manufacturing, agriculture drones, 3D modeling, and AI-driven image recognition algorithms. Strategic partnerships and advanced manufacturing technologies, such as digital sensors and USB3 cameras, fuel growth. Applications span from quality assurance in manufacturing industries to inspection in aerospace and transportation. Lens types, including wideangle, normal, telephoto, and wide area lenses, cater to diverse needs. Emerging areas include autonomous vehicles, parking cameras, CMS cameras, SVS cameras, barcode scanners, and 3D imaging cameras. Production capacity is expanding, driven by increasing demand for automation technology in industries like semiconductors, electric vehicles, and connected vehicles. Smart cameras play a significant role in Machine Vision (Mv) systems by digitizing and transferring frames for analysis. These cameras have an embedded image sensor and are custom-built for specialized applications with space constraints. They are used for various automated functions, either as a supplement to multi-part Mv systems or as standalone image-processing units. Smart cameras are a cost-effective and user-friendly option for industrial production, particularly for inspection and quality assurance. Their compact size makes them ideal for manufacturing operations seeking to streamline automation methods or integrate vision systems. Smart cameras are increasingly popular in industries for enhancing productivity and ensuring consistent product quality. Request Sample of our comprehensive report now to stay ahead in the AI-driven market evolution! Market Challenges The Machine Vision (MV) camera market is experiencing significant growth due to increasing demand for automation and quality assurance in various industries. Key applications include position guidance, measurement, identification, and pattern recognition in manufacturing, smart manufacturing, and advanced manufacturing processes. Challenges in this market include the need for high-speed image recognition algorithms, smart cameras, and PC-based cameras for wireless and wearable applications. Strategic partnerships, USB3 cameras, and advanced automation technology are driving innovation in this space. MV cameras play a crucial role in industries such as aerospace, transportation, semiconductors, and agriculture drones, enabling 3D modeling, microscopy, and inspection. Lens types like wideangle, normal, telephoto, and wide area lenses cater to diverse applications. The market is also witnessing growth in UAV-based inspections for power lines, facilities, and quality tests in manufacturing operations. The compact footprint and embedded image processing capabilities of MV cameras make them ideal for industrial production and automation technology in electric vehicles, connected vehicles, and autonomous vehicles. Barcode scanners, 3D imaging cameras, line scan cameras, and CMS/SVS cameras are other important MV camera types. Machine vision systems incorporate cameras, software, and advanced technologies for image analysis in various industries. The cost of these systems is substantial, presenting a challenge for small and medium-sized enterprises (SMEs) in both developed and developing countries. Customization and operational requirements increase the overall expense. End-users tailor their machine vision systems to specific applications, incurring additional costs for servicing. Smart cameras, equipped with advanced technologies for image clarity and precision, also carry a high base price. These factors may hinder the adoption of machine vision systems by some businesses. Discover how AI is revolutionizing market trends- Get your access now! Segment Overview This machine vision (mv) camera market report extensively covers market segmentation by 1.1 PC based camera 1.2 Smart camera 1.3 Wireless camera 1.4 Wearable camera 2.1 Line scan 2.2 Area scan 2.3 3D scan cameras 3.1 APAC 3.2 North America 3.3 Europe 3.4 Middle East and Africa 3.5 South America 1.1 PC based camera- PC-based machine vision systems offer flexible interfacing with direct-connect cameras or image acquisition boards, and are backed by configurable application software. These systems boast efficient processing power, enabling them to handle complex operations swiftly. The broader range of capabilities allows PC systems to compensate for unexpected variables in tasks. In August 2020 , Omron Automation Americas introduced a new machine vision solutions package for PC-based systems. The FJ2 cameras boast advanced CMOS sensors, frame rates of up to 282 FPS, and resolutions from 0.4 MP to 5 MP in monochrome and color versions. This new product launch is expected to bolster market growth during the forecast period. Download a Sample of our comprehensive report today to discover how AI-driven innovations are reshaping competitive dynamics Research Analysis Machine Vision (MV) cameras are advanced imaging devices designed to process and analyze visual information in real-time. They are essential components of machine vision systems used in various industries for position guidance, measurement, and pattern recognition. MV cameras come in different types, including smart cameras, wireless cameras, wearable cameras, parking cameras, CMS cameras, SVS cameras, barcode scanners, 3D imaging cameras, and line scan cameras. Each type caters to specific applications. Lens type is another crucial factor, with wide-angle lenses providing a broader field of view and normal lenses offering a more standard perspective. MV cameras are integrated into handheld systems, robotic systems, and production lines to enhance automation and improve product quality. Market Research Overview Machine Vision (MV) cameras, also known as machine vision cameras, are advanced imaging devices designed for automating industrial processes through position guidance, measurement, identification, and pattern recognition. They employ imagerecognition algorithms to analyze data from digital sensors and provide solutions for industries such as manufacturing, aerospace, transportation, and agriculture. MV cameras come in various forms, including smart cameras, PC-based cameras, wireless cameras, wearable cameras, and more. Advanced manufacturing industries, including smart factories and automated production lines, heavily utilize MV cameras for quality assurance, inspection, and automation. Applications range from microscopy and barcode scanning to 3D modeling and autonomous vehicle parking cameras. Strategic partnerships and the adoption of AI and machine learning technologies continue to drive innovation in the MV camera market. MV cameras are available in various types, including smart camera-based systems, advanced manufacturing solutions, and specialized applications like line scan cameras, 3D imaging cameras, and UAV-based inspections. Lens types, such as wideangle, normal, telephoto, and wide area lenses, cater to different use cases. With a compact footprint and high production capacity, MV cameras are essential tools for industrial operations and quality tests, enabling the identification of components and ensuring efficient, accurate, and consistent manufacturing processes. Table of Contents: 1 Executive Summary 2 Market Landscape 3 Market Sizing 4 Historic Market Size 5 Five Forces Analysis 6 Market Segmentation Platform PC Based Camera Smart Camera Wireless Camera Wearable Camera Type Line Scan Area Scan 3D Scan Cameras Geography APAC North America Europe Middle East And Africa South America 7 Customer Landscape 8 Geographic Landscape 9 Drivers, Challenges, and Trends 10 Company Landscape 11 Company Analysis 12 Appendix About Technavio Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios. Contacts Technavio Research Jesse Maida Media & Marketing Executive US: +1 844 364 1100 UK: +44 203 893 3200 Email: [email protected] Website: www.technavio.com/ SOURCE TechnavioJimmy Carter: Many evolutions for a centenarian ‘citizen of the world’Former US president Jimmy Carter has died aged 100. (Neil Hall/PA). The King and the Prime Minister have paid tribute to Jimmy Carter following the former US president’s death on Sunday aged 100. In a message to the American people, the King expressed “great sadness” at the news of Mr Carter’s death, describing him as “a committed public servant” who “devoted his life to promoting peace and human rights”. He added: “His dedication and humility served as an inspiration to many, and I remember with great fondness his visit to the United Kingdom in 1977. “My thoughts and prayers are with President Carter’s family and the American people at this time.” Mr Carter, a former peanut farmer, served one term in the White House between 1977 and 1981 and spent his post-presidency years as a global humanitarian, winning the Nobel Peace Prize in 2002. Jimmy Carter made a state visit to the UK in 1977 and received a private congratulatory message from the King on his 100th birthday. (PA) Sir Keir Starmer said Mr Carter had “lived his values in the service of others to the very end” through “decades of selfless public service”. Praising a “lifelong dedication to peace” that saw him win the Nobel Peace Prize in 2002, Sir Keir added: “Motivated by his strong faith and values, President Carter redefined the post-presidency with a remarkable commitment to social justice and human rights at home and abroad.” Tributes to Mr Carter followed the announcement of his death by his family on Sunday, more than a year after he decided to enter hospice care. His son, Chip Carter, said: “My father was a hero, not only to me but to everyone who believes in peace, human rights, and unselfish love.” We need your consent to load this Social Media content. We use a number of different Social Media outlets to manage extra content that can set cookies on your device and collect data about your activity. US President Joe Biden, one of the first elected politicians to endorse Mr Carter’s bid for the presidency in 1976, said the world had “lost an extraordinary leader, statesman and humanitarian”. He said: “Over six decades, we had the honour of calling Jimmy Carter a dear friend. But, what’s extraordinary about Jimmy Carter, though, is that millions of people throughout America and the world who never met him thought of him as a dear friend as well. “With his compassion and moral clarity, he worked to eradicate disease, forge peace, advance civil rights and human rights, promote free and fair elections, house the homeless, and always advocate for the least among us.” Other UK politicians also paid tribute to Mr Carter. Liberal Democrat leader Sir Ed Davey said he was “an inspiration” who “led a truly remarkable life dedicated to public service with a genuine care for people”. Scottish First Minister John Swinney described the former president as “a good, decent, honest man who strove for peace in all that he did”, while Welsh First Minister said he was “a remarkable man” and “a humanitarian and scholar”. Former prime minister Sir Tony Blair said Mr Carter’s “life was a testament to public service”. He added: “I always had the greatest respect for him, his spirit and his dedication. He fundamentally cared and consistently toiled to help those in need.” Mr Carter is expected to receive a state funeral featuring public observances in Atlanta, Georgia, and Washington DC before being buried in his hometown of Plains, Georgia. Jimmy Carter’s presidency was characterised by troubles at home and abroad, including the 444-day hostage crisis at the US embassy in Tehran, but was also marked by the conclusion of the Camp David Accords between Egypt and Israel. (AP) A moderate democrat born in Plains in October 1924, Mr Carter’s political career took him from the Georgia state senate to the state governorship and, finally, the White House, where he took office as 39th president in the wake of the Watergate scandal and the Vietnam War. His presidency saw economic disruption amid volatile oil prices, along with social tensions at home and challenges abroad including the Iranian revolution that sparked a 444-day hostage crisis at the US embassy in Tehran. But he also brokered the Camp David Accords between Egypt and Israel, which led to a peace treaty between the two countries in 1979. After his defeat in the 1980 presidential election, he worked more than four decades leading The Carter Centre, which he and his late wife Rosalynn co-founded in 1982 to “wage peace, fight disease, and build hope”. Under his leadership, the Carter Center virtually eliminated Guinea Worm disease, which has gone from affecting 3.5 million people in Africa and Asia in 1986 to just 14 in 2023. Mrs Carter, who died last year aged 96, had played a more active role in her husband’s presidency than previous first ladies, with Mr Carter saying she had been “my equal partner in everything I ever accomplished”. Earlier this year, on his 100th birthday, Mr Carter received a private congratulatory message from the King, expressing admiration for his life of public serviceAsia Foundation honours success of women in entrepreneurship
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Michael Daniel has developed an app aimed at bridging the communication gap for people with . or signup to continue reading It's called the NeuroTranslator, and it quickly achieved viral status when it was launched online in November. The 34-year-old father of three from Newcastle only recently discovered that he was autistic. The diagnosis was life-changing. "My journey toward understanding that I was autistic started with my eldest daughter. As she grew into toddlerhood, I noticed certain unique traits and behaviours that felt extremely familiar - things I distinctly remembered doing myself as a child," he explains. "About a year ago, a family friend gently suggested that my daughter might be autistic. I didn't think too much about it at the time, but one day, while visiting the local library, I came across by Jenara Nerenberg. I picked it up, thinking it might offer some helpful parenting insights for my wife and I. "That night, after everyone was asleep, I stayed up reading. As I turned the pages, I felt a wave of emotion wash over me. Every story, every experience described, resonated so deeply. "I got goosebumps all over my body as it felt like the pieces of my life all fell into place. In that quiet moment by myself, I realised - I'm autistic. It was a life-changing realisation that helped me better understand myself." Looking back at his life through a different lens explained so much. "Being autistic means having a brain that's wired differently, so it has shaped literally every decision I've made throughout my life, often in ways I didn't fully understand," Daniel says. "Growing up, I always sensed that I thought differently, but society isn't always accepting of those who don't fit the norm. In response, I subconsciously developed what's known as a 'mask' - adopting behaviours that felt more socially acceptable to blend in and gain acceptance. "This experience is common among autistic individuals, especially those who don't fit the narrow, stereotypical portrayals often seen in media (think Sheldon Cooper from ). But autism is highly individual." He quotes a saying - "If you've met one autistic person, you've met one autistic person" - which he says explains how autistic traits vary, sometimes dramatically, from person to person. "After discovering that I was autistic, it felt like the process of unmasking kicked in automatically. I was eager to find the 'real me'," Daniel says. "What I didn't expect was that my brain would seemingly shut off in some areas, and I'd lose skills that had always felt second nature. It was as if the mask I had worn for years to navigate life had come off - but what lay beneath felt unfamiliar, even to me." It was a tumultuous time for the Daniel family. "I didn't recognise myself, and neither did my wife. We found ourselves speaking completely different languages, trapped in a cycle of constant misunderstandings," he says. "I'd say something with a completely different intention to how it was interpreted. Every misunderstanding seemed to trigger more emotional pain, creating a rift in our marriage that at times felt impossible to bridge. "It was that pain that drove me to create my own AI assistant. I needed something that could get me out of my own head and help me process interactions I didn't fully understand, especially in emotionally charged situations. "The AI became a lifeline, helping me break down and work through what would've taken me days to process on my own." An incident at his workplace was the final straw. In a Zoom meeting, his employer told him that the company no longer needed a full-time data analyst and that he was being "let go". "I completely misread the situation," Daniel says. "I didn't pick up on the seriousness in his facial expressions and, thinking he was joking, I burst out laughing. A moment later, HR joined the call, and that's when it hit me. It wasn't a joke. It was one of the most awkward moments of my life. "After the meeting, still reeling, I decided to release the AI tool I'd built for myself publicly for free. I thought, 'I can't be the only one going through this and if it helps even two or three people like me, that would be something good to come out of it'. "I spent the rest of the day building a simple website and posted about it on Reddit before going to bed. The next morning, I woke up to my phone blowing up with notifications. It had gone viral on Reddit and TikTok overnight, racking up hundreds of thousands of views." The app's web version had been viewed more than 400,000 times on TikTok and Reddit in the first 24 hours. There was a market for the app, but the cost was prohibitive. It was going to set Daniel back $300 a day to keep the app up and running, so he introduced "a small paywall to help cover the costs, and created a $2 per month financial hardship option for anyone struggling", while offering a slightly higher tier for people who wanted to support him as "a now-unemployed solopreneur". What started as a personal project had evolved into something much bigger. People started asking him if NeuroTranslator could be developed into a mobile app, and if it could be expanded to cover other neurotypes, such as ADHD. "I wanted NeuroTranslator to be more than just a translator for autistic communication - I wanted it to bridge communication gaps for a range of neurotypes," Daniel says. "The feedback I received from thousands of users inspired me to create something truly inclusive and scalable. "At first, I explored hiring developers to build a mobile app, but the quotes I received were far beyond what I could afford - especially given that I'd just lost my job. So, I decided to take a leap and teach myself how to build the app from scratch, with a little help from AI-powered tools along the way. "It's estimated that one in five people are neurodivergent, yet the world often isn't built for us. NeuroTranslator is my attempt to change that - to offer a way for neurodivergent and neurotypical people to connect in ways they may never have thought possible." The app works, he says, by acting as a bridge between different communication styles. Users type in a scenario and the app translates it in a way that's easy for the user to understand, based on their particular neurotype. "Anyone who isn't neurotypical will tell you that communicating can sometimes feel like speaking an entirely different language," he says. "Take something as seemingly simple as 'How are you?'. For a neurotypical person, it's often just a polite greeting, not meant to be answered in detail. For an autistic person, however, it can be interpreted as a literal question requiring an honest and thorough response. "The NeuroTranslator breaks down hidden meanings, implied context and common social cues that might not be obvious to everyone. "By making subtle adjustments in how we communicate, we can reduce misunderstandings and create more meaningful connections. That's what bridging the gap really means to me - fostering understanding by translating intent, not just words, and embracing our differences." Advertisement Sign up for our newsletter to stay up to date. We care about the protection of your data. Read our . AdvertisementCommissioning ceremony held for DSTA Intake 26th graduate cadetsArgan, Inc. Declares Regular Quarterly Cash Dividend of $0.375 Per Common Share