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Whenever there is a challenging project, a need for an innovative technology and a promising use case, we tackle it. ADAS, AgroTech, Precise Agriculture, Robotics and much more. We believe these innovations, contributes to our core expertise and know-how, enhances our technological capabilities and keeps us always on the front end of technology

ADAS

ADAS

Highly accurate life-saving algorithms which secure road safety

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Agriculture

Agriculture

Breakthroughs in computer vision for precision agriculture

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Recommendation

Recommendation

Online content selection and recommendation for billions of users

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OCR

OCR

Identify and extract information from non-digital sources

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Robotics

Robotics

Machine vision navigation and detection software for robots

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All other articles

Radars for autonomous vehicles

Sensors for ADAS Technology: 3. RADARs

This is a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles and increase security for all. Read about RGB cameras, LiDARs and Radars. RSIP Vision and its engineers have a rich experience in sensors for ADAS systems and for autonomous driving.

Read More
Autonomous self-driving car showing Lidar

ADAS sensors: 2. LiDARs

This is a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles and increase security for all. Read about RGB cameras, LiDARs and Radars. RSIP Vision and its engineers have a rich experience in sensors for ADAS systems and for autonomous driving.

Read More
RGB Cameras

ADAS sensors: 1. RGB cameras

This is a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles and increase security for all. Read about RGB cameras, LiDARs and Radars. RSIP Vision and its engineers have a rich experience in sensors for ADAS systems and for autonomous driving.

Read More
Agricultural Yield Prediction on tablet

Agricultural yield prediction using Deep Learning

Technology breakthrough and availability of new datasets are changing forever the world of agriculture. Software solutions using Deep Learning makes it possible for farm managers to produce accurate yield estimates on a simple smartphone or tablet. This precision agriculture solution is made available by pioneering software from RSIP Vision.

Read More
Industrial intrusion detection

Intrusion Detection with Deep Learning

Detecting physical and virtual intrusions is a key process in ensuring information and property security. Physical intrusion detection refers to all attempts at break-ins to

Read More
Generative Adversarial Networks at work

GAN for non-rigid object tracking

Object identification and tracking remains a challenging task in computer vision, despite advances in hardware, computational, and algorithmic developments. Difficulties arise, in part, due to

Read More
object tracking in video frames

Object Tracking at High fps

Object tracking in video sequences is a classical challenge in computer vision, which finds applications in nearly all domains of the industry: from assembly line

Read More
high resolution with CNN

High Resolution Image Reconstruction

Recovering a high-resolution (HR) image from a low resolution one is a classical problem in computer vision for which many algorithms have been developed to

Read More
The algorithm searches for information in each frame

Temporal point process sampling in video

Object identification and tracking in a sequence of frames (video) consists of sampling of the scene, by e.g raster or uniform scatter, to extract features

Read More
3D models from depth cameras

RGB-D SLAM building 3D models from depth cameras

In the past few years, depth cameras became common and easy to get. Several product are available in the market at a reasonable price, e.g.

Read More
< Page1 Page2 Page3 … Page8 >
Radars for autonomous vehicles

Sensors for ADAS Technology: 3. RADARs

This is a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles and increase security for all. Read about RGB cameras, LiDARs and Radars. RSIP Vision and its engineers have a rich experience in sensors for ADAS systems and for autonomous driving.

Read More
Autonomous self-driving car showing Lidar

ADAS sensors: 2. LiDARs

This is a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles and increase security for all. Read about RGB cameras, LiDARs and Radars. RSIP Vision and its engineers have a rich experience in sensors for ADAS systems and for autonomous driving.

Read More
RGB Cameras

ADAS sensors: 1. RGB cameras

This is a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles and increase security for all. Read about RGB cameras, LiDARs and Radars. RSIP Vision and its engineers have a rich experience in sensors for ADAS systems and for autonomous driving.

Read More
Agricultural Yield Prediction on tablet

Agricultural yield prediction using Deep Learning

Technology breakthrough and availability of new datasets are changing forever the world of agriculture. Software solutions using Deep Learning makes it possible for farm managers to produce accurate yield estimates on a simple smartphone or tablet. This precision agriculture solution is made available by pioneering software from RSIP Vision.

Read More
Industrial intrusion detection

Intrusion Detection with Deep Learning

Detecting physical and virtual intrusions is a key process in ensuring information and property security. Physical intrusion detection refers to all attempts at break-ins to

Read More
Generative Adversarial Networks at work

GAN for non-rigid object tracking

Object identification and tracking remains a challenging task in computer vision, despite advances in hardware, computational, and algorithmic developments. Difficulties arise, in part, due to

Read More
object tracking in video frames

Object Tracking at High fps

Object tracking in video sequences is a classical challenge in computer vision, which finds applications in nearly all domains of the industry: from assembly line

Read More
high resolution with CNN

High Resolution Image Reconstruction

Recovering a high-resolution (HR) image from a low resolution one is a classical problem in computer vision for which many algorithms have been developed to

Read More
The algorithm searches for information in each frame

Temporal point process sampling in video

Object identification and tracking in a sequence of frames (video) consists of sampling of the scene, by e.g raster or uniform scatter, to extract features

Read More
3D models from depth cameras

RGB-D SLAM building 3D models from depth cameras

In the past few years, depth cameras became common and easy to get. Several product are available in the market at a reasonable price, e.g.

Read More
< Page1 Page2 Page3 … Page8 >

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