Sight for your device
Spatial awareness is crucial for mobile devices and platforms. Knowing the position of the device or platform in the world, the 3D structure of its environment and how objects in the surroundings are moving is a key aspect for enabling new interactive applications such as autonomous navigation or augmented and virtual reality. Our technology provides this spatial awareness.
DRONES AND ROBOTS
To operate in unknown terrains, smart drones and robots require fast and precise position information, 3D maps of their environment and information on how objects are moving. Our positioning and collision avoidance systems thereby enable new applications in the field of automated agriculture, mining, inspection or logistics.
To allow virtual and augmented reality on head-mounted displays, the devices need to know where things are located in the world and how they move. To create a convincing illusion of reality, this position estimation and the according screen update have to happen within milliseconds which requires the fast visual processing we can deliver.
SILICON EYE CHIP
Instead of using conventional camera chips for our vision systems, we are designing and manufacturing highly efficient vision sensor chips that are inspired by the processing in our eyes. These chips contain smart pixels that compress the information in the pixel and thereby allow saving time, power and computation.
Insightness has created a compact and efficient collision avoidance system for drones with a unique feature: It allows to detect and evade moving as well as static obstacles. While other collision avoidance systems can also detect and evade static obstacles, they struggle with handling dynamic objects. Thanks to the high temporal resolution of our sensors, we have overcome these limitations. We have integrated our collision avoidance system into highly configurable modules: a central processing module integrates the information of one or multiple conventional or Silicon Eye vision sensor modules. Depending on the configuration, the system delivers following information: the 3D position of the drone for trajectory control, a depth map to evade static objects and a motion map to evade moving obstacles. We are currently offering evaluation kits for our collision avoidance systems for drone and robot manufacturers. We are currently also working on a completely novel product in the field of augmented reality that will enable unseen truly interactive AR applications. The according evaluation kits will soon be available so make sure that you have enrolled on our newsletter.
Board of Directors
Do you want to become part of our team?
Stefan Isler, our Head of Software recently gave an exciting talk at the Computer Vision and Patter Recognition (CVPR) Conference; one of the top conferences in the field. The talk announced out latest vision sensor, the Silicon Eye 2 which we will release later this year. The full talk and the slides which were part Read more about CVPR Talk Online[…]
The Swiss National Television (SRF) recently visited the befriended research group of Prof. Davide Scaramuzza, the “Robotics and Perception Group” at the University of Zurich where they featured a drone with two of our Silicon Eye sensors. The full article (German) and a video can be found here: https://www.srf.ch/news/panorama/forschung-an-drohnen-drohne-weicht-fussbaellen-aus-dank-zwei-kamera-augen
We are looking for talented and innovative people who want to make an impact. Come and join us now in one of the following open positions: Business Developer Digital IC Designer Computer Vision Engineer (full-time or internship) Electronics Engineer Electronics Engineer Intern For more details, please click on the links above to see the full Read more about New Positions Available![…]
We have recently released a new video showing the capabilities of our latest Silicon Eye Rino 3 evaluation kit. It shows the performance of our new event-based vision sensor (“SEES 1”) which is based on a novel pixel architecture as well as the capabilities of our inside-out tracking pipeline (“EIVO”) for applications in the field Read more about Our New Video is out[…]
We wish you happy holidays and a happy new year! Here a sneak peek of things to come: The video shows the trace of our new pose estimation pipeline (EIVO) based on events and IMU only, visualized on top ouf 10Hz APS images of our latest vision sensor (Silicon Eye 1).
At the Startup Champions event at ETH Zurich, Christian gave a 10min talk about Insightness’ learnings in the first 3 years of its existence. You can find the according slide deck here
In June, Massimo Zannoni joined the Insightness team as an Analog Chip Designer. Massimo has a very strong background in analog chip design and has worked for multiple years in the field of photonics. He earned his MSc in Electronic Engineering from the University of Parma and did an internship at ABB. Beginning of August, Read more about Our Team Keeps Growing[…]
Insightness has moved to within Zurich to the busy neighborhood of Altstetten. Our new address is: Insightness AG Max-Högger-Str. 6 8048 Zürich We now have more space to grow and prosper. Come by in case you want to see our new offices. Once the remodeling of our floor is done, we will host a office Read more about Insightness has moved[…]
Keeping our Skies Safe: Insightness Solves Collision Avoidance for Drones Drone incidents are increasingly present in the news and one of the key challenges to enable new applications such as drone delivery is safety. With its Silicon Eye collision avoidance system Insightness is releasing a technology that will be a stepping stone towards safe and Read more about Press Release: Drone Collision Video[…]
At the beginning of the year, Jonas Strubel joined us as the last of three new team members who started working for Insightness. He is an experienced software developer who came from Thoratec Switzerland GmbH. Jonas has already extensively worked with event-based vision algorithms during his studies. He did a semester project as well as his Read more about Insightness Team expanded[…]