Biokido Medical Engineering

With over 20 years of medical industry experience and highly skilled software team, Biokido can identify the problems of healthcare and develop specific solutions to these problems.

Biokido is specialized in object recognition and detection in 3D space, Skeleton tracking and body pose estimation by machine-learning and computer vision as “seeing” is a fundamental sense for sophisticated artificially intelligent systems, since almost 40% of human brain cortex belong!

One of the products of Biokidıo; “DORA Motion” is a good example of what is mentioned above.

Any brand depth camera, the skeleton tracking software developed by the Biokido team and the high quality display and the best components are enough for this job.

As technology evolves, the need for digital images and utilities during surgery is increasing. For a more successful and error-free operation, the surgeon should frequently look at these images and make measurements and calculations. The surgeon’s separation from the patient’s head while doing this, touching non-sterile objects and surfaces, and re-sterilization may cause prolongation of the operation and risk of surgery success.

The Biokido team therefore developed DORA Motion, a medical display that contains radiological images of the patient and which can be easily cleaned with disinfectant fluids thanks to the high resolution and IP65 enclosure that allows the surgeon to reach other desired information.
With simple hand movements, the surgeon can quickly and easily manage images without leaving the patient’s head, sterilizing and helping third parties.

With DORA Motion’s international patent pending feature, it can also be easily connected to other computer and mouse controlled devices, so that the surgeon can control these devices without physical contact and without disrupting their sterilization.

Company’s Keywords:

image processing, artificial intelligence, innovative hospital solutions, research, development, manufacturing, robotics, medical devices, machine learning