The Future of Artificial intelligence in Manufacturing Industries

Industry 4.0”- the world is on the brink of this fourth industrial revolution
4.0 brings forth the technologies such as the Internet of things and Artificial intelligence to make things “smarter” – allowing companies to revolutionize the way they manufacture and ship goods. Artificial intelligence (AI) is just now finding its niche in manufacturing, it is one such area where AI has set foot and intensified the smart manufacturing or the industrial revolution.
The need for change is inevitable. With technologies like the artificial intelligence empowering efficiency of businesses and making advancements across various industries, the tech world is witnessing a significant change. But how AI becomes the future of manufacturing? as the technology matures, costs drop, and manufacturers discover the reasons how AI algorithms can make complex decisions. Facilitating to conquer many internal challenges that has been in the industry, either it can be expertise shortage to complexity in decision making or issues related to integration and overloaded information.
AI in manufacturing plants provides a complete transformation in their proceedings. Let’s have a look on the scenarios that makes AI best suitable for manufacturing.
• Virtual Reality
At the time of critical situations virtual reality serves as the best way allowing remotely located people to connect and work jointly on the tasks that require immediate response. Enable new tools that help to perform testing in the virtual world. Simulation and product-creation can help reduce the manufacturing time drastically.
• Automation
Automation of processes in manufacturing industry provides high level of accuracy and productivity which is beyond human ability. Automating can even work in environments that are otherwise dangerous, tedious or complicated for humans. In future it is expected that robotics will be employed in place with voice and image recognition capabilities to minimize human errors and efforts.
• Intelligence
In the long run, many critical human tasks will be replaced by robots which minimizes the space for errors, also every production stage can be closely monitored with the help of sensors and data can be shared with AI and analytics software. Increased output, defect detection and corrective action is much faster, ultimately the entire production cycle is way more efficient.
• Prediction 
Industrial equipment’s are typically serviced on a fixed schedule, irrespective of actual operating condition, resulting in wasted labor and risk of unexpected and undiagnosed equipment failures. Once integrated with AI sensors and networked with each other, devices can be monitored, analyzed, and modeled for improved performance and service.
• Better products 
AI takes over the manufacturing plant and automates boring and ordinary human tasks, workers will get to focus on complex and innovative tasks. While AI takes care of unskilled labor, humans can focus on driving innovation and routing their business to advanced levels
“The future is flexible” with Artificial intelligence, in tandem with complementary technologies like 3D printing and IoT, will induce modular manufacturing requisites to meet rising consumer needs.
Do you wish to be better prepared for the changes that AI will bring about to your manufacturing industry? Need to get a deeper foundational understanding of what AI & machine learning technologies are and how to use them successfully in your business? Contact our experts for an insightful discussion please visit at https://www.intellectyx.com/blog/the-future-of-artificial-intelligence-in-manufacturing-industries/

AI at the Edge: Transforming Machine Vision into Reality

The buzz about artificial intelligence has been growing strong compared to the past years, now its potential has been unleashed and businesses started to reap the benefits of this intelligent technology. Latest update on this is one of the most difficult challenges in AI: Making the device understand what they see. A vision to the machine.

Vision is a primary sense and one of the main mediums in which we live our lives, now it is for machines. As devices takes integral part in our daily lives, we can notice an increasing number of applications fail without adequate visual capabilities. Machine vision is the trending part of AI that aims to give machines a sight comparable to our own, but why would a machine need to see? How is it possible to give vision to a machine with Machine learning and Artificial intelligence!! See to the below ideology behind this visual realm

To solve complex tasks aggressively with minimal errors the “Machine vision” concept came into existence. AI’s applicability in machine vision relies on the affiliated branches of machine learning and more so, deep learning help machines identify and understand images from the real world. This is carried over by teaching the machine learning algorithms to computers to recognize features of an object. Say for example: The computer learns that if something is round and red, it’s an apple. Then a tomato is introduced, and so on and so forth. The machine (computer) continually understands and modify its model based on new information and assign a predictive value to each model, indicating the degree of confidence that an object is one thing over another
Areas where Machine vision find its importance

• Machine Vision inspection takes a crucial part in achieving 100% quality control in diverse industries, manufacturing industry on the top gets greatly benefited. Machine vision inspection reduces costs and ensures a high level of customer satisfaction. This effort is carried out by Machines and making it understand the continued adoption of technologies like neural networks and specialized machine vision hardware, now by this we are rapidly closing the gap between human and machine vision.
• Face Recognition system with Deep Learning based approach significantly improves the recognition based on traditional computer vision techniques. With this advancement recognition rate improved to over 95% with a false positive rate of 1 in 10,000 also accurately detects spoof attacks based on a person’s picture.
• Several custom algorithms are being used in a medical device for accurately measuring the power of the corrective lens. Medical devices with a significant imaging component have very stringent algorithm requirements when it comes to accuracy and robustness. These algorithms involves object detection, real-time calibration and robust feature extraction
In the future soon, we may start to see robots with visual capabilities going above and beyond our own, enabling them to carry out numerous complex tasks and operate completely autonomously within our society. Stay tuned to our blogs and get updates on recent technologies at your finger tips please visit intellectyx.com