Industrial Automation


Industrial Automation

Food Processing Industry

Rapid advancements in IT industry and finely tuned expectations of consumers and regulatory agencies for superior food quality and safety have made the food industry mandatory to consider automation of most of the manufacturing processes.

The next significant development is to integrate the “pieces of automation” into a large single system of plant automation from the stage of receiving raw materials to distribution of finished products. Novel technical capabilities like computer vision, expert systems, computer aided design, computer integrated manufacturing, etc., have facilitated integration of many batch operations into on-the-whole manufacturing system design to provide on-line and continuous control capability. The augmented fervor in industrial automation is because of the marvelous growth in computer hardware and software technology. Now the food industry ranks among the fastest growing industry with automation. Food industry is coping with machine vision technology which is the most significant component of plan automation. To make this industry to be successful in automation, it must be incorporated into the overall manufacturing system design and provide on-line, continuous control capability.
industrial automation_


The greatest challenge in the automation of the food industry is the biological variation in the nature of the materials which we handle. For e.g Milk can be handled in bulk while vegetables, fruits need to be handled in single units only. Food industry requires a level of flexibility which is not common to other established industries. We at Kosoft possess the capability to build such systems which are resilient, user-friendly, cost optimized and long lasting.

Computer Vision Systems

It ranges from simple inspection to vision-guided robotic assembly. Some of the applications can be categorized as follows,


Performing precise dimensional measurements.


Checking whether desired features alone are present.
flow detection

Flow Detection

Finding and distinguishing unwanted features of unknown size and shape.


Identifying the objects from the observed features.


Identifying the objects.


Determining the location and orientation of the objects.

Points to ponder in selecting
appropriate computer vision follow

Speed of Operation
The system must possess the capability to operate in real time.
The capability to function as per the prescribed requirement in a food plant environment.
The extent to which it is able to accept variations in the product.
The capability to recognize required features with a high level of accuracy.