Filip Kachnic, Business Development Manager, Eyedea Recognition Ltd

FF: Tell us about your background and how you ended up as a Business Development Manager at Eyedea Recognition Ltd.

My expertise spans academic research, AI and mobile forensics, covering distinct but equally dynamic fields.

FF: For those not familiar with Eyedea Recognition Ltd., can you tell us a bit about what the company does?

Eyedea supplies partners worldwide with visual recognition technologies, based on artificial intelligence and machine learning. It was established in 2006 as a university spin-off of the Czech Technical University in Prague.  Our comprehensive product range includes Vehicle Make and Model Recognition (MMR), Vehicle Plate Recognition (ANPR), Vehicle Cabin Visual Inspection, Traffic Analysis, Forensic Number Plate Analysis, Video and Image Anonymization, along with Traffic Object Search and Tracking.

FF: What does a typical day at work involve?

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A typical day for a Business Development Manager at Eyedea involves strategizing for business growth, liaising with partners, and working closely with the technical team to provide quality support for the client.

FF: What are some of the key applications of your vehicle make and model recognition (MMR) and forensic license plate recognition (LPR) technologies?

Key applications encompass a wide range of sectors such as law enforcement, traffic monitoring, surveillance, toll collection, and insurance, where precise vehicle identification plays a pivotal role.

FF: Can you share an example of a case where Eyedea technology played a pivotal role in solving a forensic investigation?

Eyedea’s technologies are crucial in scenarios demanding vehicle identification, such as in combating human trafficking, where victims are frequently transported across multiple jurisdictions.

FF: What are the most significant challenges in developing vehicle recognition and LPR technologies?

Significant challenges include ensuring high accuracy across different environments, adapting to new vehicle models and license plate designs, and addressing ethical considerations related to surveillance and data privacy.

FF: What future developments can we expect from Eyedea Recognition?

Eyedea is expected to continue advancing its visual recognition technologies, leveraging the latest AI and machine learning innovations. For example, we are working on developing a video anonymizing software that automatically detects and blurs human faces, car license plates, and windshields, showcasing our commitment to innovation and privacy protection.

FF: And finally, what do you enjoy in your spare time?

I enjoy spending quality time with my one-year-old son, exploring new places through travel, and embracing the tranquility of nature.

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