In part 6 of this series, we discussed a key application for AI video analytics: Commercial Real Estate. By leveraging an AI video analytics solution and integrating it with their existing security cameras, retailers can make data-driven decisions that maximize their...
In part 5 of this series, we discussed a key application for AI video analytic: Smart City and Transportation. Public transport agencies’ ability to derive actionable and data-driven insights in real-time from their surveillance cameras allows them to understand...
In part 4 of this series, we discussed the first key applications for AI video analytics: Essential Stores. Grocery stores, hypermarkets, and pharmacies with an AI video analytics solution that leverages existing security cameras can maximize operational efficiency to...
In October 2020, C2RO joined SAP.iO Foundry Berlin’s Data & Analytics program where they integrated their privacy-aware AI video analytics platform, Perceive™, with SAP’s data analytics solutions and offered them to SAP customers. During this 3-month...
In part 3 of this series, we discussed why data privacy compliance is critical for AI video analytics solutions. A video analytics technology provider that offers aggregated and anonymous insights while being fully compliant with data privacy regulations, will not...
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C2RO Preview
Patrick Roy
Software Engineering Manager
Patrick brings more than 25 years of Software Development experience at major Enterprise Software companies such as IBM, Cognos, and Paysafe. He has been fortunate to occupy roles in areas as diversified as architecture, escalation management, performance testing, application security, quality assurance, down to low-level programming. He is recognized for his initiatives and thought leadership. He is always learning new computer languages and technologies to build relevant solutions. He has recently delivered a fully automated micro service continuous delivery platform for a large enterprise. He believes in good coding practices; in the long-term benefits they bring.
Jeff McMullen
Cheif Financial Officer
Jeff brings over 15 years of experience as a CFO to C2RO. He has been involved in numerous public and private financings, acquisitions, dispositions and other transactions with a total value of over $1 billion. Jeff McMullen joined JetForm Corporation in 1994 as Controller, eventually becoming Senior VP and CFO and helped grow annual revenues to over $100 million. JetForm was acquired by Adobe in 2002. From 2002 to 2008 Jeff was a CFO consultant to a variety of venture-backed companies in the software, semiconductor and optical spaces. He then joined Irdeto, a world leader in content security, management and delivery for pay media companies. Jeff McMullen is a graduate of the School of Business of Queen’s University and is a Chartered Accountant and a Chartered Professional Accountant.
Riccardo is an entrepreneur with a track record in architecting and building early-stage companies in the enterprise cloud computing space. Most notably, he was Co-Founder and CEO of Diablo Technologies Inc., which he grew to over one hundred employees worldwide and pioneered several Cloud and Virtualization technologies including Software Defined Memory and Memory Channel Storage. His background also includes senior leadership roles at Nortel Networks and Matrox Graphics. Riccardo sits on the Advisory Board of several technology companies and is also a growth coach with District3 Innovation Center. He mentors up and coming entrepreneurs on all aspects of building a business from the ground up, in particular building early customer traction and execution planning. He has a Bachelor Degree in Electrical Engineering from Concordia University in Montreal, Canada.
Amir Haji
Computer Vision Specialist
Amir is currently a doctoral researcher at McGill University in the field of Computer vision. He has deep knowledge in intensity image gradients and angular orientation map of the level sets. This accompanied with a profound knowledge of Mathematics, Machine learning and Physics, equipped with high-end software sets and a variety of programming languages, enabled him to address some canonical problems in Computer vision. His engineering background in other hand enabled him to present the application of these theories to solve the real-world problems.
