IESS IX – International Engineering Sourcing Show (IX) 2020

The IESS Indian Engineering Sourcing Show is a trade fair for mechanical engineering and is held once a year. In the morning it is open only to trade visitors, in the afternoon private visitors are allowed to enter the exhibition. The fair has established itself in recent years as India’s largest engineering fair and continues to be a major driver of new technologies and investments. Over 50 cities in India have participated in the fair. This results in the exhibitors in a unique opportunity to reach even more remote and smaller regions in India and so making available their products to a wider audience. On the Engineering Expo retailers, manufacturers and service providers are brought together to cover the entire value chain. This includes the industry, associations, academia, and agencies that have a positive impact on the market, both through action and through work.

The ninth IESS Indian Engineering Sourcing Show is for 3 days from Wed., 04.03.2020 to Fri., 06.03.2020 in Coimbatore.



IESS IX is the largest display of engineering products and solutions with substantial no. of Overseas Buyers and Trade Buyers.


Global Buyers from across the world shall visit IESS IX to explore trading and partnership opportunities.


IESS IX facilitates one to one business meetings with your prospective buyers in a congenial environment to establish long-lasting business relationships.


IESS IX shall organize exclusive vendor development programs with leading Public Sector Undertakings in Defence, Space, Infrastructure and Engineering.


Multinational Companies shall organize India Sourcing Meetings at IESS IX to discuss their India Sourcing requirements and shortlist suppliers for their Global Supply Chain program.


IESS IX provides a business platform for Technology companies to display their Future Ready products to early adopters from all over the world.


  • CEO’s forum, Bilateral forums
  • Smart Manufacturing, Technology, Design Sessions
  • Vendor Procurement Shows
  • Display of High End & Traditional Engineering Goods
  • More Than 700 B2B Sessions
  • Outward & Inward Investment Shows
  • Expositions of Hi-Tech Engineering products at Technology Pavillion



Lincode Labs is an AI and Industrial IoT company that enables manufacturing companies to identify, predict, and eliminate product defects. Our proprietary computer-vision based edge solution operates on the assembly line, enabling manufacturing companies to conduct an automated visual inspection of every product in the production, assembly, and packaging stages.


  • Detects product defects of 2 microns in size at full customary conveyor speeds
  • Operates in an open environment despite dust, vibration, and inconsistent lighting conditions
  • Predicts the likelihood of machine downtime and future product defects
  • Voice-based intranet NLP interface
  • Requires only basic, inexpensive 2D camera equipment
  • Integrates with existing customer dashboards, robotic arms, and other interfaces for a fully-integrated solution
  • Deployable in any manufacturing setting via a local server or the cloud
  • Fully operable within a single month of engagement

We have a stall here at H2-F16. Visit us to know more.

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admin March 6, 2020 0 Comments

Exploring the Potential of Computer Vision Across Industries

Computer vision technology is transforming the business world with its capability to understand the content of digital images and videos. It enables machines to precisely identify and classify images based on deep learning capabilities. Computer vision can be used across different industry verticals to enhance productivity, efficiency, customer experience, reduce operating costs, minimize defects, and improve security.

Computer vision an application of AI, which is way beyond just seeing and understanding the content of digital images, is playing a significant role in enabling digital transformation across different industry verticals. It is one of the very versatile, fastest-growing trends, based on deep learning models, which is bringing transformational change in our everyday lives.

Computer vision captures, processes, analyzes and understands digital images and videos. It allows computers and other machines to see, and recognize as the human eye and generates actionable insights as per designed algorithms. It addresses unique business challenges and improves business performance through image processing and enhancement, Image classification, object detection, feature and pattern recognition, 3D image reconstruction and video analytics.

Let us check out some of the applications of computer vision in different industries.

Computer Vision in Automotive

Right from the assembly line and vehicle manufacturing process to vehicles on streets, computer vision is proving its acceptance and presence by making driving safer every day.

ADAS Applications: Applications of computer vision in ADAS are prominent. Computer vision through vision-based ADAS (Camera-based), RADAR, and LIDAR technologies are paving the way for automotive companies towards fully automated self-driving cars. Different systems inside a car perform different tasks like camera-based ADAS provides visual representation, Radar works in case of low visibility, and LIDAR provides a 3D representation of the vehicle’s surroundings with object recognition. However, all these applications of ADAS are possible with computer vision technologies, which together provide a holistic solution in ADAS applications. This allows the driver to have a better awareness of his surroundings while driving, and at the same time have more control.

  • Automotive Gesture Recognition: Automotive gesture recognition with computer vision is the next level in road safety, which is based on deep learning and machine learning capabilities. Gesture recognition technology monitors the driver’s facial, hand gestures (Talking, texting, operating radio, having food and drinks while driving, etc.), and notifies if it differs from the pre-programmed recognizable gestures. Facial expressions like eye blinking, drowsiness, and head movements are recognized with computer vision technologies and send audible or visual alerts to notify the driver.


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admin March 6, 2020 0 Comments

SMART Manufacturing is the Future for Small and Medium-Sized Manufacturers

What exactly is Smart Manufacturing?

Over the past several years, the topic of SMART Manufacturing has been a conversation among industry experts, strategists, and thought leaders. However, despite its media coverage, many on the front lines of manufacturing aren’t quite sure what SMART Manufacturing entails or why it’s even relevant to their organization.

To state it simply, it is the use of real-time data and technology when, where and in the forms that are needed by people and machines. But, if you are looking for more comprehensive definitions, there are two from leading organizations. According to the National Institute of Standards and Technology (NIST), SMART systems are “fully-integrated, collaborative manufacturing systems that respond in real-time to meet changing demands and conditions in the factory, in the supply network, and in customer needs.”

The Smart Manufacturing Leadership Coalition (SMLC) defines SMART as “the ability to solve existing and future problems via an open infrastructure that allows solutions to be implemented at the speed of business while creating advantaged value.”

The concept and successful implementation of SMART Manufacturing are being predicted to be the Fourth Industrial Revolution. And with many other advances in recent years, it all has to do with technology connectivity and the unprecedented access to, and contextualization of, data.

Manufacturing is evolving and your business needs to evolve too. The Fourth Industrial Revolution has arrived as manufacturers meld new technologies such as the Internet of Things (IoT), robotics, virtual reality (VR) and artificial intelligence (AI) into their business strategies. SMART Manufacturing – Sense, Measure, Analyze, Report and Train – will be an integral component of this strategy.

The McKinsey Global Institute in its report, “The Internet of Things: Mapping the Value Beyond the Hype,” stated that SMART Manufacturing will generate a total economic impact of $3.9 trillion to $11.1 trillion a year by 2025. The report states that factories are expected to have the greatest potential impact on SMART Manufacturing — as much as $3.7 trillion per year. By not moving forward, you may be leaving your business behind.

Fortunately, you don’t need to be a big company to realize the benefits of moving to a SMART Manufacturing process. However, in order to be effective, people, processes, and technology need to be in balance and working together. Other key components of a SMART Manufacturing solution include:

  • Equipment and Connectivity
  • Data Collection
  • Information Management & Visualization
  • Data Analysis and Intelligence
  • Business Decision Making
  • Workflow execution

The brain of a smart manufacturing system is manufacturing data. This provides markers to determine the health of the business. This data can then be then used to provide a series of analytic procedures, including:

  • Descriptive: Used to capture a product’s condition, environment, and operation
  • Diagnostic: Examines the cause of reduced product performance or failure
  • Predictive: Detects patterns that signal impending events
  • Prescriptive: Identify measures to improve outcomes or correct problems

What Does SMART Mean for the Manufacturer?

If you’re a small manufacturing organization, what are your strategies for improving your processes? What do you want to accomplish – increase sales, reduce costs, improve efficiency, or have a more agile supply chain? It’s likely that you’ve purchased hardware or software along with a license to use the technology to help you accomplish one or more of your goals. It also offers the ability to collaborate with suppliers, both upstream and downstream, more effectively.

Infrastructure Changes: The What, Where & Why

A common misconception about SMART Manufacturing is that it will require organizations to drastically transform their current operations and invest in advanced technology that will be too complex to adjust to. While some change is necessary, of course, SMART greatly simplifies this transition by building to the capabilities that manufacturers have currently.

One of the key concepts involved in recognizing the value of data as a key asset to be developed and managed. Put another way, for a system that analyzes data, the key asset is not the analytics system itself but the data itself. It’s the data used to build and validate the analysis and the data that are generated. Such an emphasis on data causes us to think differently about where to focus resources.

For any operational objective, there needs to be a source of relevant data. The sources of data can be as basic as a fax machine, tablet or smartphone — or as sophisticated as a wide-area sensor network. The point is, data is valuable in the context of the operational objective, not the sophistication of the sensors. There are many highly beneficial applications that can draw upon data.

Infrastructure changes needed to accommodate the applications that use and act on the data happen within the SMART platform — giving manufacturers the convenience of making less drastic changes within their facilities. SMART Manufacturing will lead to significant changes in business opportunities and operations over time.

Conclusion: The Biggest Change is in People —not Technology

A major part of seeing success early has to do with the company culture and the commitment of team members. It’s important to remember that all the integration and use of technology is rendered useless if it is combined with employees who don’t fully understand how it will make their job easier, not harder.

And just as crucial as employee support is needed for a successful SMART path, it can also serve as the biggest hurdle in implementation.


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admin March 5, 2020 0 Comments


Manufacturers worldwide stress over the issue of quality control as it pertains to their industry – considering numerous avenues for improving their company’s own standards and practices without introducing preposterous price spikes or impossible workflow barriers to their creative processes.

There is no doubt that quality control is of immense importance and contributes directly to a manufacturer’s reputation and bottom line. However, micromanaging one’s manufacturing process can become tedious work; especially with all other aspects of business management to consider as well.

The software can help and should definitely be utilized in such situations to keep intensive management to a definite minimum, but it helps to know what areas of quality control are important enough to warrant the use of software in the manufacturing industry in the first place. Here, we will discuss the main reasons for quality control to be taken seriously by manufacturers regardless of their specific sectors or end products.

Cost Cuts

Boosting profits can be tricky business when it comes to manufacturing as slight changes in materials used or personnel employed create drastic differences in final products and consumer satisfaction. Thus, making even basic alterations to your company’s production process on any level should be avoided whenever possible. However, through the magic of proper quality control costs are often cut by massive amounts every quarter.

Through efficient quality control, costs can be cut transparently. This is due mostly to the fact that multiple stops in the product creation line to assess relative quality and standards help to ward off major errors that would have an item recalled, repaired or rebuilt entirely.

Improved Products

The more intensive and stringent the quality control environment is, the better the end results of the crafted products in question will be. Improving the final product that your business creates tends to come down to effective control throughout the process – ensuring each step is up to the standards you have established.

Strengthened Market Stance

It is no surprise that certain manufacturing brands stand out above the rest – they boast of top tier quality control throughout their production processes and this lands them with final products worthy of acclaim. It is no exaggeration to say that consumers notice and often prefer higher quality products – electing to get them when they can afford the appropriately higher price points. Better products translate to a far more immovable market position.

Effective Compliance

Compliance with regulatory conditions and standards can create unnecessary bottlenecks in production when checked near the end of the assembly line. Effective quality control spreads this loadout evenly across the entire process, with multiple checkpoints along the way. This makes for fewer bottlenecks, fewer surprises, and far less financial losses overall.


Consistency with your market offerings ties back into your business’s overall reputation. Consistency also allows for more stability in your quarterly pricing as there are far less dynamic fluctuations in production costs. Naturally, quality control plays a huge part in building consistency throughout the assembly process by eliminating redundant processes and scrapped materials.

Resource Conservation

Conserving resources is important for manufacturers as it makes for less upfront material expenses whilst simultaneously improving the company’s reputation with consumers. Fewer assembly foul-ups mean greater throughput and higher gains are a given. Quality control is essential to making this a reality and, therefore, should definitely be taken into account if this is your goal.

Risk Reduction

Minimizing risks goes beyond the proper implementation of safety gear on the factory floor. There are plenty of financial risks to consider once your products leave the building. Recalls are costly endeavors and their negative influence on customer and retail perceptions of your company could tarnish your name indefinitely. Obviously, this is a less than favorable occurrence to consider as it makes for a difficult set of odds to overcome. Quality control helps you to ascertain that all of your products are on the same level when they are finished and can be delivered to retailers/customers without the risk of failure.

As can be seen above, quality control is an incredibly important aspect of the manufacturing process – not only ensuring the continued use of your company’s products but also allowing for proper adherence to regulatory standards. Keeping track of the quality control process can be tough, but the right software helps to significantly improve the process through intuitive optimizations and effective shortcuts. Hopefully, you now have a clearer picture of the areas in which quality control can truly influence your business and you can target these areas as you seek out software for managing such your entire production process more efficiently.

If you are looking for software to assist you in your quality control management efforts, then you would do best to consider options such as Aptean or Deacom. These programs are exceptional and can be tailored to fit your business’s needs quite well.


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admin March 4, 2020 0 Comments

10 Examples of AI in manufacturing to inspire your smart factory

AI in manufacturing promises massive leaps forward in productivity, environmental friendliness and quality of life, but research shows that while 58 percent of manufacturers are actively interested, only 12 percent are implementing it.

We’ve gathered 10 examples of AI at work in smart factories to bridge the gap between research and implementation, and to give you an idea of some of the ways you might use it in your own manufacturing.

1. Quality checks

Factories creating intricate products like microchips and circuit boards are making use of ‘machine vision’, which equips AI with incredibly high-resolution cameras. The technology is able to pick out minute details and defects far more reliably than the human eye. When integrated with a cloud-based data processing framework, defects are instantly flagged and a response is automatically coordinated.

2. Maintenance

Smart factories like those operated by LG are making use of Azure Machine Learning to detect and predict defects in their machinery before issues arise. This allows for predictive maintenance that can cut down on unexpected delays, which can cost tens of thousands of pounds.

3. Faster, more reliable design

AI is being used by companies like Airbus to create thousands of component designs in the time it takes to enter a few numbers into a computer. Using what’s called ‘generative design’, AI giant Autodesk is able to massively reduce the time it takes for manufacturers to test new ideas.

4. Reduced environmental impact

Siemens outfits its gas turbines with hundreds of sensors that feed into an AI-operated data processing system, which adjusts fuel valves in order to keep emissions as low as possible.

5. Harnessing useful data

Hitachi has been paying close attention to the productivity and output of its factories using AI. Previously unused data is continuously gathered and processed by their AI, unlocking insights that were too time-consuming to analyze in the past.

6. Supply chain communication

The aforementioned data can also be used to communicate with the links in the supply chain, keeping delays to a minimum as real-time updates and requests are instantly available. Fero Labs is a frontrunner in predictive communication using machine learning.

7. Cutting waste

The steel industry uses Fero Labs’ technology to cut down on ‘mill scaling’, which results in 3 percent of steel being lost. The AI was able to reduce this by 15 percent, saving millions of dollars in the process.

8. Integration

Cloud-based machine learning – like Azure’s Cognitive Services – is allowing manufacturers to streamline communication between their many branches. Data collected on one production line can be interpreted and shared with other branches to automate material provision, maintenance, and other previously manual undertakings.

9. Improved customer service

Nokia is leading the charge in implementing AI in customer service, creating what it calls a ‘holistic, real-time view of the customer experience’. This allows them to prioritize issues and identify key customers and pain points.

10. Post-production support

Finnish elevator and escalator manufacturer KONE is using its ‘24/7 Connected Services’ to monitor how its products are used and to provide this information to its clients. This allows them not only to predict defects but to show clients how their products are being used in practice.

AI in manufacturing is reaching a wider and wider level of adoption, and for good reason. McKinsey predicts that ‘smart factories’ will drive $37 trillion in new value by 2025, giving rise to research projects like Reboot Finland IoT Factory, which involves organizations as diverse as Nokia and GE Healthcare.


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admin March 2, 2020 0 Comments

Yourstory interview of the founders

Smart Manufacturing is what brings Industry 4.0 to life. San Francisco based Lincode Labs Inc. Eric Malis and Rajesh Iyengar decode the future of manufacturing. #smaarc

Smart Manufacturing is what brings Industry 4.0 to life. San Francisco based Lincode Labs Inc. Rajesh Iyengar & Eric Malis decode the future of manufacturing. #smaarc

Posted by YourStory on Tuesday, January 28, 2020

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admin February 9, 2020 1 Comment

First SMAARC 2020 conference

Bengaluru, KA, INDIA, January 22, 2020 – Lincode Labs Inc., in association with CAI – CIO Association of India, Avadhoot Automation Solutions Pvt Ltd, AB Plastomech, Ignos Consulting and BrandWox, hosted SMAARC 2020, a conference on the current state of smart factory technology. The conference marked the first public event of its kind held by the Smart Manufacturing, AI, AR & Robotics Consortium (SMAARC), an ecosystem of industrial partners at the forefront of manufacturing technology and innovation.

The conference took place at the prestigious Leela Palace in Bengaluru. Veterans from the manufacturing sector came together to connect, collaborate and share their expertise and perspectives on how the next generation of technology is revolutionizing manufacturing.

Opening with the lighting of the lamp, an Indian inauguration tradition, the event kicked off with comments from Rajesh Iyengar, the founder and CEO of Lincode Labs and principal architect of SMAARC. Mr. Iyengar explained, “we formed SMAARC to build a collaborative ecosystem of manufacturing specialists and leverage each other’s talents, experiences and connections.” Keynote presentation topics included digital transformation, artificial intelligence in visual inspection, augmented reality, IoT security and robotics. The event also featured a panel discussion with leading experts in the field and live product demos of cutting edge industrial applications.

Eric Malis, CMO of Lincode Labs led a discussion on artificial intelligence in visual inspections and shared that “as new technology becomes more complex to produce and consumer expectations shift faster than ever, the #1 business challenge that manufactures identify where smart factory solutions can enhance business performance is quality management. In addition to understanding how deep learning is improving quality inspection, audience questions focused on trends in data analytics, mobile security and evolving labor economies.

Since this event, interest in joining SMAARC has continued to grow. Amarinder Singh, Chief Involvement Officer of the CIO Association of India and master of ceremonies for SMAARC 2020, remarked that “it was such an honor to be in the company of so many great thinkers, and I am excited for what this group of business leaders is going to do next.”

More information about SMAARC is available at The website contains a full list of the presenters and details about how to learn more about current innovations in the manufacturing sector.

About Lincode Labs Inc.

Lincode Labs Inc. is an AI and IoT company enabling manufacturers to identify, predict and eliminate product defects using computer vision and machine learning. The company’s patent-pending deep learning solution enables manufacturing companies to identify objects, components, text, dimensions, colors and defects in revolutionary ways compared to traditional machine vision technology. The solution seamlessly integrates with existing manufacturing environments and enables manufactures to adapt quickly to new customer demands and production requirements.

Learn more at

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admin February 9, 2020 0 Comments

How to ride the wave of digital disruption – a manufacturer explains

Digital transformation has arrived in manufacturing and the potential shows no signs of abating. European Commission research estimates Industry 4.0 will boost manufacturing production by 20% by 2020, thanks in part to a 50% decrease in downtime. Darren Duke, business analyst at world-leading foam product manufacturer Zotefoams, explains how manufacturers can harness data to create actionable business insights, and how emerging technologies can be applied to refine today’s manufacturing processes.

There is no ‘silver bullet’ technology to guarantee growth for manufacturers, but there is a winning attitude. Businesses that keep an open mind to all possible technology options and take the time to review them will stand a better chance of making the right investment – one that will power the business ahead of its competitors. For that, you need an open enterprise strategy that enables you to maintain that sort of open mind.

No ‘one size fits all’ approach to technology investment

Investing in good analytic and reporting software can help you spot trends or outliers early – allowing you to respond in an agile way. Used right, this sort of software will help you react faster to market and customer needs.

To prepare for market fluctuations, manufacturers should run a regular portfolio management exercise and see how changes in the next year could move products around a tool such as the Boston Matrix which analyses businesses based on their growth and market share. They can then consider what opportunities or problems will arise and prepare for them accordingly.

Key technology trends for manufacturers

To successfully ride the wave of digital disruption, manufacturers must embrace the move towards fast data analysis, interaction through social networks and a move towards a light, app-based suite of systems.

At Zotefoams we are always looking to gather information from real-time or near-real-time automated analysis using artificial intelligence (AI) to highlight trends that a human may miss.

That means that AI can help us be more proactive in quality, product and customer service areas. We also really like the way the technology is changing to allow us to pick up social media trends and industry conversations – revealing market insights such as untapped customer needs. We all know that younger business system users are used to an app-based ecosystem. Systems we use such as Microsoft Dynamics 365 are particularly valuable in delivering this, as they allow businesses to design their own, tailored apps to increase productivity and streamline business processes.

Read more on this blog here


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admin November 28, 2018 0 Comments

Growing use of mobile robots on factory floors: report

The industrial robotics sector is seeing robust growth as manufacturers increasingly update their automation. The revenues from sales of commercial robots in manufacturing are forecast to grow from US$166 million in 2018 to US$22 billion by 2027 according to ABI Research, a market foresight advisory firm.

The newest trend is complementary robotics technologies that put mobile robots on the factory floor. Made up of automated guided vehicles (AGVs) and autonomous mobile robots (AMRs), these robots will complement existing robotic arms in factories that are increasingly becoming more autonomous and smarter.

There has been plenty of debate within the industry on the different benefits of AGVs and AMRs. While AGVs are a much cheaper precursor to AMRs, they require floor markers to guide their movement and are more suited to greenfield deployments. For those wanting infrastructure-free navigation and a flexible production line, AMRs represent the future standard. Ultimately, manufacturers will benefit from either of these solutions as they can push carts and deliver parts within or between the factories, optimising workflows, minimising workplace hazards and freeing up valuable staff resources.

“The advancements in machine vision, simultaneous localisation and mapping (SLAM), swarm intelligence and sensor fusion are making it possible for mobile robots to operate in unstructured environments such as the factory warehouse and the assembly area,” said Lian Jye Su, Principal Analyst at ABI Research. “These technologies are being supported by many cameras and sensors, such as LiDAR and radar. Moving forward, the robot can benefit from the integration of deep learning algorithms with sensor fusion and swarm intelligence.”

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admin November 28, 2018 0 Comments

Industry 4.0 is about bringing the real and virtual worlds together

Not so long ago, industrial automation and IT were two separate spheres with little or no overlap. Fast forward to the present, and digitization has blurred these boundaries almost beyond recognition. Today, the world’s leading providers of automation technology and production machinery have morphed into pioneers of digital transformation, while the big software providers have diversified into solutions for industrial manufacturing. “The convergence of automation and IT now sweeping across industry is of course also reflected at HANNOVER MESSE,” says Arno Reich, Global Director IAMD and Digital Factory as members of the HANNOVER MESSE family. With its chosen lead theme of “Industrial Intelligence”, HANNOVER MESSE 2019 is not only putting the spotlight on digitally enabled collaboration between people and machines in today’s age of artificial intelligence, but also revealing the source of the necessary expertise, namely platforms that build bridges between people, machines and data.”

Implementing Industry 4.0 hinges on close cooperation between IT and automation. Naturally, things don’t always go smoothly. The main challenge is getting the two disciplines to understand each other,” explains Rainer Glatz,  director of the Electrical Automation and Software & Digitalization associations within the German Engineering Federation (VDMA), adding: “They speak in different tongues and have different organizational make-ups and approaches, leading to frequent misunderstandings, conflicts of interest and needless competition at their points of intersection.”

Read more on this blog here


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admin November 28, 2018 0 Comments