Machine Vision Systems in Life Science and their Applications

Close-up of sensor scanning workbench.

Vision System in life sciences is the method of seizing and examining images without any direct control. The Visual Inspection Machine has provided a new world for integrators, researchers, end-users, OEMs. Automating life sciences applications includes maintaining quality control, regulating with laws and control, keeping lower costs and ensuring traceability. Life Science is an emerging technology with a high rate of growth potential. Visual Inspection System Manufacturers are constantly improving innovative new vision systems that take the business ahead.

You can refer the following link to know more about their applications.


Machine vision has a wide variety of applications in life sciences. The most significant of them are:

  1. Agriculture: Machine vision can improve enduring farming tools such as tractors and can be used to widely facilitate some massive device. The selection of vision technology is serving to build an entirely new formation of farming equipment. Several vision systems used in the cultivation applications are embedded vision systems. These can be used for crop health, monitoring soil and farm equipment.

  1. Medicine: Vision systems used in this field are microscopy, dermatology, endoscopy, ophthalmology and analytical chemistry. This technology is taking the medical industry into an effective and intelligent prospect. Vision systems give professionals and surgeon more comprehensive perception in performing medical methods. They provide their support in detecting breast cancer, complete blood count tests, dental prosthesis, portable retina inspection and skin disease. Machine vision will be a significant technology for the requirements of high-quality production standards in medical technology and decreased prices. Camera-based medical technologies can support in enhancing approach, diagnosis, and detection and training methods. It provides its range of applications in robot-aided operations, cosmetic improvements, documentation of operations and machine vision systems for medical advances and training.

  1. Environmental Science: These high-speed vision systems are used to observe closely and examine the performance and pattern of animals. They can be used to preserve wildlife and study flood and drought. They are also used for qualitative analysis of social behaviour. Social behaviour has benefitted enormously from advances in automated measurement and social interactions. Social behaviour varies over complexity and plasticity. They are also used to mitigate the effects of the natural disaster. To prevent the damage caused by natural disasters and the development of systems through remote sensing and geographic information systems. Vision systems technology can be used in smoke and flake detection, tidal wave detection, flood detection and landslide detection using pattern recognition and computer vision techniques. Various disaster warning methods have been advanced in recent times.

  1. Supply Chain: They provide support in barcode reading, inspection cameras and produce high-quality products that keep the area safe. The more accurate data is communicated to a machine, the more accurately it can perform automated functions.

  1. Pharmaceutical: They are used for determining product quality and inspection of packaging. Their implementation is growing in research and development of applications. The quality is the top concern in this field. They are used in inspection processes such as packaging integrity, fill level, surface detect, contamination, code validation, cap integrity and labelling.

This sector is very diverse but it is developing quickly. New opportunities to automate life science application are continuously growing.