Client: The City Of David / Jerusalem
Project: AR mobile app for the Travel industry, employed by Heritage, archaeological and historical sites. The above animation reconstructs the House Of Yehiel (from around 650 BC ) at the City of David in Jerusalem on top of live video feed of its remaining structure
Technologies: Win-10/Android, Open-CV, Unity, LMY Photosphere
Client: Tower of David / Jerusalem
Project: AR mobile app for the Travel industry, employed by panorama sites, observation decks and museums. It is a multimedia platform that provides rich, tailored content on top of visitors’ view, including intractable objects accompanied by video, audio and written information on the observed sites in real-time.
Client: DDR&D – Magic-Box Competition
Project: Real-Time targeting from a drone video feed in GPS denied Environment. The major challenge, aside from image tracking, has been to separate between man-made objects (DSM) & ground-level pixels and then to match against corresponding pixels in the orthophoto.
Client: IAF – Israeli Air force
Product: Visual Guidance mobile app for Target/POI identification & recognition for Apache helicopter navigators. Targets to be identified are displayed on selected PS images such that the viewing parameters of these images match the vantage direction of the approaching platform.
Technology: Win10/Android, Node JS, Leaflet, Angular 4, Open-CV, LMY-Photosphere
Client: Playform LTD
Project: IOS/Android native mobile app for real-time feedback of soccer players’ skills using their smartphones. LMY has designed and developed for Playform three measurement drills – High Jump, Power Kick and Kick Accuracy as shown in the clip.
Technologies: IOS/Android, Open-CV, LMY Photosphere, Fritz AI
Modern platforms usually carry a myriad of sensors to create a good and versatile model of reality. Nonetheless, different sensors will provide data outputs that are different and misplaced from each other. Moreover, these sensors operate separately and do not utilize the capabilities of each other.
For example, the output of the dual vision sensor (two cameras) will be shifted and inconsistent with the output of the Lidar point cloud. These expensive sensors require expensive positioning unit (GPS/IMU) to orient themselves and will not take advantage of the unique properties of each other.
The Harmony software is based on advanced computer vision algorithms and create a synergetic sensing composition where each sensor takes advantage of the unique properties of the other sensor. The synergetic sensing composition improves each output dataset by using information from a different sensor to deliver an optimized version with higher accuracy and improved qualities.
Companies that produce integrated mapping platforms will be able to obtain high accuracy maps with inexpensive Lidar, with low-cost navigation system or even without using GPS.
The inherent redundancy of its components guarantees:
The scope of expertise of our team creates a synergy that allows us to take on even the most complex challenges. Our customers benefit from solutions that are not only theoretically sound, but also have proven themselves in realistic, complete and comprehensive cases.
We can conduct performance analysis of methods, systems and workflows in a wide variety of scenarios, thus identifying optimal zones and weak points (both in the method and its implementation) and providing solutions for them in early stages of the project.
Client: The Smart Mobility Government Initiative
Project: Defining specifications for HD-mapping as a national infrastructure for autonomous car. In this research project, new technologies for autonomous driving were examined and their exact data requirement were defined.
Results: This project led to the development of set of novel national databases on 150 km of highways and roads. These databases were used by the smart transportation community to develop and test new innovative technologies.
Client: Survey of Israel
Project: Devising and writing new methodologies and software tools to test the quality and accuracy of new digital cameras for topographic mapping.
Results: This project led to the creation of guidelines for testing digital sensor (airborne and on UAV). Large number of sensors were examined and approved for mapping at different accuracy levels.
Client: Netivei Israel – Israel National Infrastructure Company
Project: Road inventory and Traffic management mapping Tender definition – Advising in the Tender definition on technology, innovation and best practices in the fields of mapping, GIS and geospatial data integrity.
Result: One of a kind large, comprehensive 2 phase aerial/mobile mapping tender that is custom tailored to the client need in the near and far future with integrated best practice and quality control standards to ensure client data integrity.
Client: The Mediterranean Coastal Cliffs Preservation Company
Project: GeoSpatial web site development project that shows the 3D data along with the derived information used by the decision makers to access the risk caused by the cliff erosion
Client: IMOD Space Program
Project: Geometric Calibration of EROS-C satellite payload and its position and orientation devices through a development of a scenario generator system for analyzing the potential of different (satellite) platform maneuvers to trigger the calibration disambiguation of the involved physical components.
Technology: Matlab, LMY Photosphere
Client: Playsight Interactive LTD
Project: Playsight turns sports courts into permanent SmartCourt venues by providing live streaming, automated production, instant replay from many angles, player development tools, etc.. LMY has worked with Playsight from its inception and early stages helping in system design and algorithms development. Specifically LMY has provided valuable assistance in camera specifications and with the deployment of the camera sets across the court. Additionally, we have developed and shared our source code for RT camera stability, 3D ball and player tracking, positioning, visibility analysis, and outlier detection.
Technology: Matlab, LMY_Photosphere
Powered by the LMY Harmony fusion engine, the creation of highly accurate, robust, and flexible spatial products (geo-referenced imagery, colorized point clouds, 3D meshes, etc.) is made possible. Moreover, by smartly integrating consumer-grade cameras, lidars, and navigation devices, the Harmony not only maintains high product quality, but also allows to lower the system cost.
Production under restricted or completely absent GPS settings is achieved using true-scale opto-lidar photogrammetric block, which is automatically geo-registered by matching to a reference orthophoto,