About RSIP Vision

RSIP Vision, managed by Ron Soferman, is an established leader in computer vision and image processing R&D. In its more than 25 years of operation, RSIP Vision has provided countless clients with advanced customized software for their core business, using sophisticated algorithms and machine learning techniques.

RSIP Vision employs distinguished engineers from various fields, including physics, computer science, mathematics, biomedicine, and neuroscience. Our engineers’ multidisciplinary expertise allows us to provide innovative and efficient solutions for our clients, while all our staff members benefit from each other’s expertise in his or her own field.

We have delivered advanced solutions for hundreds of projects, amassing a wealth of knowledge that we pass on to our clients through our work. Our substantial experience spans the biomedical field through the semiconductor industry, and includes automatic inspection, object recognition and tracking, 3D reconstruction and OCR, among other techniques. Some of our work is used by medical experts to assist them in saving lives, be it during the diagnostics phase or in the operation room.

We are continually updating our knowledge, adapting to emergent technologies and challenges in our clients’ industries. Our successful collaborations have enabled us to expand from Israel to Boston and San Francisco. We solve complex problems for our clients, delivering solutions that contribute to their success and save them time and money. We are proud of the work we do, and our role in our clients’ achievements around the globe.

How can we help you? Contact us today!


More examples of our image processing and computer vision consulting workSome examples of our computer vision and image processing consulting work

Don't Take Our Word For It

"RSIP Vision team was tasked with improving the accuracy and precision of our surgical guidance application. They showed and proved outmost expertise, professionalism and project management skills. They were very tuned to our requirements and requests.
We were very happy with the quality of the work they produced."

~ Latifa McQuiggan - Senior Marketing Manager
George Polchin - Director of Advanced Development

"I would like to thank you again for the amazing work you did with the three MICCAI newsletters. I got positive remarks about it from many attendees."

~ Prof. Leo Joskowicz - Head, Computer-Assisted Surgery and Medical Image Processing Laboratory at The Hebrew University of Jerusalem

"I enjoy working with Ron Soferman and his team at RSIP Vision because it's easy to work with them: they provide clear and timely information and they deliver technology exactly as promised."

~ Dr. Ron Maron / BIRD Foundation

"I am very glad that I chose Ron and RSIP Vision. The two projects they developed for us became the flagship products of the company and received enthusiastic feedback from our customers."

~ Noam Allon / Medivision

"Ron and his team quickly understood the task and started providing better and better results. I fully recommend working with Ron and RSIP Vision."

~ Ofer Saphier / Orbotech

We love our work, we hope you like it too...


Machine vision navigation and detection software for robots

Ophthalmic Imaging

Computer vision and image processing in ophthalmology

Orthopedic Surgery

Image processing algorithms to refine surgical orthopedy practices

Deep learning

Convolutional Neural Networks for advanced learning and classification


Applications in molecular medicine and microscopy image analysis

Medical Segmentation

Medical image processing and computer vision medical projects


Advanced heart imaging software to help cardiologists save lives


Applications of computer vision in pulmonary imagery

Automotive – ADAS

Life-saving algorithms which secure road safety with highest accuracy

Precise agriculture

Breakthroughs in computer vision for precision agriculture

Automated Optical Inspection

AOI techniques for semiconductors and other hardware devices

OCR and Barcodes

Identify and extract information from non-digital sources