Project description
The smartphone’s future camera
Smartphone manufacturers are investigating ways to fit their devices with cameras for face recognition, augmented reality (AR), mixed reality (MR) and virtual reality (VR). For instance, in smartphones equipped with additional sensors and a combination of hardware and software, AR allows virtual content to be used in the real world. The EU-funded PERCOSDECAM project will develop disruptive cameras for AR, MR, VR and depth estimation applications for mobile phones, tablets and laptops. Specifically, it will develop an embedded camera module, a highly competitive device targeting disruptive market-shares and global leadership. The PERCOSDECAM device will offer the same precision at 5 metres as competing cameras offer at just 1 metre. The camera will also provide real-time-3D video and depth maps.
Objective
"Recent market announcements ignited the need in all mobile phone manufacturers to incorporate 3D cameras for AR (Augmented Reality), MR (Mixed Reality), VR (Virtual Reality) and ""face recognition"". These cameras have application in phone unblocking, biometric analysis, cybersecurity and digital trust, but more important, they prepare the terminals for disruptive AR, VR and MR applications.
The objective of this project is to develop the most disruptive cameras for AR, MR, VR and depth estimation applications for mobile phones, tablets and laptop computers: specifically, an embedded camera module, a highly competitive device aiming towards disruptive market-shares and global leadership.
These devices will offer the same precision at 5 meters as competing cameras at 1 meter (the Structured Light [SL] cameras and TOF [Time of Flight] cameras), will increase drastically the resolution of the depth map (from 40 Kpixels to 1,45 Mpixels), will consume a power 7 times lower than the second lowest competitor, will also reduce by more than 50% the costs of the BOM (Bill of Material) for the camera and will provide real-time-3Dvideo and depth maps (vs. a few frames/second). The TOF and SL solutions need 4 devices to offer worse performance than our one or two devices (reducing bulkiness and power dissipation).
"
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencesartificial intelligencecomputer visionfacial recognition
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- natural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual reality
- natural sciencescomputer and information sciencescomputer security
You need to log in or register to use this function
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
46020 Valencia
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.