Irisity has been granted additional strategic patents.

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Irisity AB (publ), leading AI video analytics provider, continue building its IP and innovation with three new patent approvals.

System and Method for use in training machine learning utilities– training deep learning models for use in AI requires large datasets of annotated (labeled) data. This annotation task is mostly done by hand or using semi-automated tools. The patent granted describes a method for automatically annotating data for use in machine learning models.

System and Method for use in Geo Spatial Registration – some applications of video surveillance require taking the position of an object captured by a security camera and translating it to geo-spatial coordinates so that the object can be represented on a GIS map. To perform this task, the camera needs to be registered on the GIS map, a very time and labor consuming manual task. This patent describes a method for automatically performing the registration by having a person walking in the field of view of the camera and using a special app installed on that person’s phone. The patent allows customers with large camera systems (for example cities) to register all their cameras quickly and with a minimal amount of effort. 

System and Method for use in Object Detection from Video Stream using AI to process high resolution live video streams is a computationally expensive task and as a result building large networks of intelligent cameras can be computationally prohibitive. This patent describes a computationally efficient method for applying AI to high resolution streams with drastically reduced computational resources and while maintaining high accuracy. 

The patents above have been granted in Israel establishing priority date, with national phase examination in additional countries to follow. These three patents complement our 9 patent families with in total 32 patents and applications, of which 11 applications and 21 granted patents.

At Irisity the innovation is flourishing, making us more responsive and agile in our development of new stellar solutions for an ever-growing market demand.

Irisity is a leading provider of AI-powered video analytics solutions. We develop deep learning-based algorithms upgrading security cameras into intelligent detection devices, while safeguarding personal integrity. Irisity currently serve customers in more than ninety countries and has offices in Sweden, USA, Singapore, UAE, Mexico, and Israel, operating through a network of resellers, partners, security companies, and camera manufacturers globally.

For further information:

Zvika Ashani, Irisity CTO                                                                             

Phone: +46 771 41 11 00                                                                           


About Irisity

At Irisity we're doing real-time video analytics powered by machine learning. Irisity is a public Swedish AI-company with headquarters at Lindholmen, Gothenburg, and offices in Israel, USA, UAE, Mexico and Singapore, where the innovative spirit is flourishing. We develop smart algorithms to detect and predict suspicious activities while preserving people’s integrity. We believe that enhanced AI performance, ethics, and privacy go hand in hand, creating a positive mark within the camera security industry.

Irisity’s patented solution IRIS™ can be integrated into any new or existing camera infrastructure, installed directly into the camera, on server or in the cloud, to safeguarding people and assets. IRIS™ product portfolio includes solutions on asset protection, traffic management, and forensic search capabilities for a broad spectrum of industries such as safe cities, education, transportation, infrastructure, and the security industry. All IRIS™ functionality is available with our patented real-time anonymization, ensuring GDPR and US NDA act compliance and ethical safeguarding.

The Irisity AB (publ) share is listed on Nasdaq First North Growth Market, with the ticker IRIS

Certified Adviser: Erik Penser Bank AB • +46 8 463 83 00 •