The commercial use of drones will revolutionize numerous applications, from package delivery to infrastructure inspection, mapping and more. But large scale operations, especially in urban areas, depend on getting access to shared airspace and providing autonomous safe operations anytime and anywhere.
Safety is this market’s enabler and, in the heart of the rapidly developing drone regulation that is strongly promoted by the biggest industry players (such as Amazon, Google, Airbus, and more) and includes broad situational awareness requirements for navigation, obstacle detection and avoidance and safe emergency landings.
Wonder Robotics realized that a drone’s complex and diversified vision requirements cannot be satisfied by either 2D or 3D vision capture alone. Our computer vision technology is modelled after and inspired by a human vision-based replica, but which uniquely transcends prior art by combining short-range 3D depth perception with a long-range 2D vision for dramatically improved perspective, classification, shading, texture, and motion cues.
Our goal is to become a leading provider of intelligent and robust AI layers for autonomous and safe flight of both commercial and military drones by utilizing highly advanced vision-based capabilities.
The company’s birth resulted from the founders delivering a unique drone solution to a customer in their previous workplace. The drone was carrying a heavy payload with limited endurance. The end-user asked for the drone to have a safe autonomous landing on the target area to allow for extended operations time. While they were looking for such a solution, the founders realized that not only did such a solution not exist but that, once developed, such technology had virtually unlimited potential to be sold across a broad spectrum of industries. The founders then opted to leap of faith, and Wonder Robotics was launched shortly thereafter.
The Wonderland system is a small compact lightweight POD, the POD is platfrom agnostic and is ideally installed on the bottom of the platform allowing the sensors a clear line of sight for detecting obstacles, structures or human activity below the drone. The system then analyzes and validates the landing site and landing path according to the platform’s characteristics.
The heart of the system is based on Depth perception which is the ability to determine distances between objects and visually analyze the landing zone in 3 dimensions. Using stereo vision, both structures and moving objects are detected and the system determines whether a landing site is suitable or not for safe landing. The selected algorithms are platform agnostic and suitable for both autonomous landing and for real-time landing with man in the loop implementation.
Innovator & entrepreneur with 20 years in business leadership in the domains of drones & HLS.
Engineer & entrepreneur specializing in robotics, sensors & visual based systems.
An experienced expert in real-time embedded systems as well as computer-vision, image algorithms and processing.
Mr. Shimon started flying radio control models in his childhood. He was the Israeli RC aerobatics model champion in 1995 and served as a UAV operator in the Israeli Intelligence Corps. Afterward, Mr. Shimon was among the founders of a leading UAV company – Aeronautics Ltd and served as a Senior VP Marketing for over 12 years until the company grew to more than 700 employees. Mr. Shimon has an LLB degree from the TAU.
Mr. Shimon has 20 years of experience in international sales & marketing in the defense & homeland security markets, in addition to a proven record of success in sales, sales management, governmental contracting, and business development. Mr. Shimon has conducted multi-million-dollar transactions worldwide and has strong technical skills in addition to a deep know-how of diversified technologies in the drones, sensors, and interception domains.
As an entrepreneur, Mr. Shimon is an Angel Investor and a director in several successful startup companies across a broad spectrum of industries and disciplines.
Given his experience, Mr. Shimon is a recognized authority in unmanned systems with vast experience in all commercial, operation, and technology aspects of drones and their ancillary subsystems, and enjoys a wide local and international network in the drone tech and aerospace industry.
Mr. Demri is a Technion graduate, engineer, and entrepreneur with 18+ years of experience in R&D of complex concepts. Since 2008, Mr. Demri has been the founder and CTO of Proof Of Concept (a company that specializes in the fields of mobile robotics, navigation, and observation systems). Mr. Demri also led a number of projects and development teams for the Israel Defense Forces, academic, CTTSO, and civilian companies.
Mr. Demri was the first CTO of Roboteam, a leading global provider of tactical ground robotic systems, and was the chief system engineer and integrator of an Active Protection System (include fire control and ultra-fast debriefing system) for one of the leading defense contractors in Israel.
Mr. Demri has designed, built, and flown multicopters since 2005, and has been involved in the development of state-of-the-art drone navigation systems in complex denied GPS environments, as well as other technological projects in this same domain.
In addition, Mr. Demri is guiding award-winning academic projects, and he is the lecturer with the most award-winning projects in Innovation for practical engineers in Israel over the last few years: 9 projects and over 8 years of guidance and coaching.
Yonatan Sade, born in 1985, holds a B.Sc. degree from Jerusalem College of Technology (JCT) and an M.Sc. degree from Tel-Aviv University (TAU), both in electrical engineering. The master’s degree focused on image processing and computer vision.
During his B.Sc. studies, he worked as a student at Intel in a group of design & validation of network interface controller cards (NICs) for clients and servers.
After his studies, Yonatan worked in ENGS Systems for 4 years where he was exposed to the real-time embedded systems world design and implementation, including micro-controllers, hard and soft real-time C programming for embedded systems, and design-to-production concepts. Then, Yonatan worked for more than 4 years as a team leader of the SW team in Netzer Precision Position Sensors, a leading global company producing rotary encoders, and played a central and important role in developing and designing the new and revolutionary products of the company, including all the aspects of product manufacturing. i.e., High- and low-level software programming, analog and digital hardware design, and mechanics aspects from the customer’s side.
Professionally, Yonatan gained substantial experience in real-time embedded systems world design and implementation, including micro-controllers, hard and soft real-time C programming for embedded systems, and design-to-production concepts. Yonatan has experience in microcontrollers, ARM cortex, communication protocols, C, C++, C#, OpenCV, VHDL, FPGAs, analog design, signal processing, and MATLAB.