In the last decade, significant technological changes have shaped the security industry. The rise of deep learning technology (a subset of AI) has tremendously benefitted the field of video surveillance with several stand-out applications such as face recognition, person, and object detection with 99.99% accuracy.
Previously, video surveillance technology was used only for crime prevention, but now it is enabling business intelligence solutions by resolving end-customer issues.
Deep learning services for video and data privacy applications
Based out of London, Pimloc provides deep learning services for video security and data privacy applications. Recently, the SaaS security developer for video solutions raised €1.5M in funding led by Amadeus Capital Partners, with participation from Speedinvest, and existing shareholders. With this funding, Pimloc plans to expand its operations to an even wider market.
Founded in 2016 by Simon Randall and James Leigh, the UK company provides AI software tools to find, retrieve, and process images and video content in large collections and streams.
Aims to protect sensitive visual data
Simon Randall, the CEO, says, “Video is being captured more often, by more devices and in more locations than ever before. Historically much of this footage has resided with security officers, but now other business functions want to extract valuable data from this content. How this data is managed and shared is raising critical legal and ethical questions for data privacy. The protection of personal data needs to be designed into visual security and analytics systems by default to protect individuals from the misuse of face recognition and other technologies.”
The visual privacy and security company helps the organisation to manage security footage and protect sensitive visual data compliant with GDPR and Data Privacy legislation.
The company’s products includes:
Pholio: A system for identifying specialist visual content in large collections and streams. It can be run in the cloud, remotely, or stand-alone. According to the company claims, the platform can automatically search for content that matches a built-in catalogue of over 20,000 well-known objects and scenes.
Secure Redact: A system for anonymising sensitive content in large scale video. It uses machine learning technology to provide fast and accurate redaction of security, survey, and events footage. Notably, it can be run as a managed service, on-premise or in the cloud (if data volumes allow for efficient upload/download).
The company says it can anonymise the footage instantly through machine learning in case of repurposing the video for training or other matters.
Besides Pholio and Secure Redact, the company also developed solutions for brand tracking in video, remote image processing, human activity tracking, and auto-publishing. They’re currently used in a range of sectors including mobility, insurance, entertainment, broadcasting, and law enforcement.
Alex van Someren, Managing Partner, Amadeus Capital Partners, comments, “There is a critical need for privacy by design and large-scale solutions, as video grows as a data source for mobility, insurance, commerce and smart cities, while our reliance on video for remote working increases.”
Main image credits: Zapp2Photo/Shutterstock