India’s Flexible Intermediate Bulk Container (FIBC) industry is considered to have the highest growth opportunities in the global FIBC market. This growth is driven by increased international trade and favorable initiatives by the Indian government to drive manufacturing in the nation. Industries in India that use FIBCs, like food products, agriculture, pharmaceuticals, chemicals, and fertilizers have seen considerable growth over this period, which has also driven the growth in FIBC sales. According to experts, the Indian FIBC industry is set to grow at a rate of 2x in the year 2022-23. 

Hence, a machine vision-based, AI-enabled system like the Kiara Web Inspection System (KWIS) can detect these defects and perform cutting accurately, reducing wastage by as much as 50%. 

Counting small metal parts like screws and bolts is challenging and traditionally is done using weight-based counting systems. But counting by weight can be inaccurate and result in inefficiencies.

Traditional weight-based counting can increase costs and decrease profitability for manufacturers. The weight of each part is not the same, which makes counting by weight inefficient. Often, manufacturers may include additional parts as they do not want to sell lesser number to customers, which can negatively impact their reputation.

The inclusion of additional parts results in extra costs to the company, which in turn reduces their sales and profitability. One way to overcome this limitation is using Vision-based Systems that are compatible with the latest Industry 4.0 technologies and reduce weight-based counting inefficiencies by as much as fifty per cent.

Stringent regulatory norms imply potentially higher liability for any production errors. Quality control is an important aspect of the pharmaceutical industry and has been one of the biggest concerns for manufacturers.

Latest technologies like IoT, deep learning, and artificial intelligence provide innovative methods for quality validation. One common way adopted by pharmaceutical companies to improve quality control is using machine vision systems.

The pharmaceutical industry was amongst the early adopters of machine vision to ensure product safety and integrity. Machine vision plays a crucial role to deliver high-quality products consistently. Since its early stage, this technology has witnessed significant advances and can deliver productivity gains with specific applications.

Shipping, production, and data processing are some common applications for pharmaceutical machine vision technology.

Typical usage includes labelling, code validation, cap integrity, package integrity, safety seal, fill levels, 

contamination, and surface defects.

Human errors in manufacturing may result in defective products and material wastage. Defects may result in wastage at different times during the manufacturing process. A minor defect may require discarding the material or being repurposed, which increases costs and production time.

Small defects if unchecked can escalate into larger defects, which can significantly impact the manufacturing process and costs. The need for reducing wastage to zero has been an instrumental factor driving the demand for quality inspection systems.

AI in manufacturing uses machine vision technology to detect defects and reduce wastage to zero. These use advanced technologies, such as high-end cameras, deep learning, and data analytics to detect defects with almost 100 per cent accuracy.

Deploying a machine vision system entails certain expenses, such as the actual cost of the system, its maintenance, installation and integration, and training personnel to use the system. Initially, these costs may seem significant; however, these advanced systems provide several financial benefits like improved efficiency, increased products, lesser wastage, accuracy, and many more. 

Like several other digital technologies, machine vision (MV) is an important component driving Industry 4.0. The high volume of data accessed via visual equipment is able to quickly detect faulty products by recognizing defects, thereby enabling efficient and rapid intervention in Industry 4.0. 

The different versions of MV improve production efficiency and have diverse applications in quality control, inventory management, and more. The elimination of human errors prevalent in manual inspections reduces mistakes, thereby enhancing productivity and profitability.

There is a high possibility of costly errors associated with injection molding. Quality issues in these products may range from small surface defects to major issues that may affect the performance, safety, and functioning of the products. Injection molding defects may arise due to materials used, molding procedure, tooling design, or a combination of all three.

Injection molding of plastic materials is delicate and subject to defects that affect the product quality. Molding defects can be of different types and also occur due to various reasons. Here are some common types of plastic defects:

Manufacturing industry is highly dynamic and the first impression of the products and brands is their packaging. If a defect or mislabel is not noticed before reaching the customers, the outcomes can be disastrous.

Research shows that consumers form their first impression about products in only seven seconds. Can you imagine the possible results if your factory overlooked packaging and print defects? Such unnoticed defects may result in severe losses for your business, which makes inspection for quality control a crucial function.

Traditionally, manual inspection is common practice in the packaging and printing industry. However, this method of quality control has certain limitations as below:

Irrespective of the industry, consumer products manufacturers must prioritise accuracy, customer satisfaction, and quality assurance. When the processes are efficiently handled, products are apportioned and packed correctly, which prevents expensive errors and reputation damage.

Some manufacturing and packaging companies traditionally have used weight-based packing. Sometimes, this long-accepted technique may reduce profits as manufacturers may add more products. Lesser weight can also negatively impact brand reputation, which is another reason manufacturers may pack more products.

An alternative that is gaining popularity is the automatic counting and packing machine, which guarantees 100% accuracy. This alternative not only ensures exact control, leading to higher customer satisfaction but also improves ROI due to lower wastage and/or extra products.

Some companies may consider installing automatic counting machines as an expensive investment. However, the amount manufacturers can potentially save by achieiving 100% accuracy and avoiding wastage ensures recouping the investment quickly.

On the other hand, when customers receive a lesser number of products, they simply move to a competitor, which can significantly impact sales and profitability. Automatic counting packing machines ensure every package has the same number of products eliminating customer dissatisfaction.

On the other hand, when customers receive a lesser number of products, they simply move to a competitor, which can significantly impact sales and profitability. Automatic counting packing machines ensure every package has the same number of products eliminating customer dissatisfaction.

An important but often unappreciated aspect of any manufacturing process is quality assurance. This is when the products are checked for any defects or errors before shipping. Traditionally, the quality inspection was done manually but this method is often inefficient and delivers inaccurate results.

Technical development is an ongoing process and today machine vision inspection systems are not a novelty but a necessity. Constantly changing factory automation and the need to adhere to newer standards of quality parameters makes it necessary for manufacturers to use machine vision in their production processes.

The primary goals of vision inspection machines are improving product quality and automating the inspection process. Different types of machine vision systems are available and understanding their benefits will help you to choose the right system based on your production requirements.

Here are five advantages of such systems:

1.   Accurate results

Repetitive tasks like manual inspections can result either in fatigue or distraction or simply inattentiveness. As a result, defective or wrong products may slip through the quality assurance process. Automating this process using machine vision inspection software eliminates inaccuracy and ensures consistent outputs during the entire process.

2.   Higher productivity

Reducing the number of personnel for manual inspection allows you to utilize them in other aspects of the business. Your people can pay more attention to other more productive tasks, such as improving the processes, planning, material procurement, and other complex jobs. This increases not only their productivity but the overall productivity of your company.

Inspection is often the bottle neck of production processes. Machine Vision Systems speed up this step and opens up bandwidth to produce more.

3.   Reduce costs

Automatic inspection systems using machine vision significantly reduce wastage thereby improving the ROI. Defects are caught early in the production cycle and do not penetrate through, significantly reducing wastage. Additionally, it prevents recalls or returns of defective products, which enhances customer satisfaction and reduces extra shipping costs.

4.   Enhance reputation

When you consistently deliver superior quality products, you exceed customer expectations. You can further build your company’s reputation through customer reviews and feedback. Moreover, when you adhere to the highest quality norms, you can explore and expand your business into several high-end and premium markets. This can significantly increase the revenue and profitability of your company.

5.   Improve data quality

A majority of the machine vision for inspection and measurement systemsoperate on digital data and provide digital results. This allows you to record and maintain crucial data to identify the common errors or defects in products, which improves data analytics and can be beneficial in making informed decisions.

Current Machine vision are AI powered and they include self-improving technology, which allows it to adapt and learn from its mistakes once specified. These systems are automatically updated based on the real-time data made available during the production process by inspection of a large number of samples to deliver near-perfect  accurate results.

Human eyes have a limited visibility spectrum, which can result in missing critical quality control information. Ongoing Labor shortages and lack of skilled labor bundled with labor attrition rates further add to problems surrounding manual inspection. These machine vision systems are designed to deliver consistent results and even capture images from multiple angles ensuring nothing is missed during the quality check process thereby delivering complete accuracy.

Machine inspection brings additional safety and operational benefits by decreasing manual intervention in the production process. Additionally, it helps to prevent contamination while protecting workers from working in hazardous environments.

To learn how automation can improve your production process, please get in touch with our experts on 98934 52000.