World-leading, AI video privacy and intelligence platform
Pimloc uses the latest machine learning and computer vision approaches to train its algorithms to recognize personal identifiable information (PII) in a wide variety of image and video scenes. They recognize the identifiers (such as faces, heads and license plates) as a human observer would, to redact / anonymize and classify the information automatically.
Pimloc’s technology can be deployed selectively, so it can remove some or all faces, and/or all vehicle registration details, or other identifying information. It has been trained to perform on low-definition visual content, meaning Pimloc’s products can deal with a large diversity of CCTV and other video surveillance data.
As a result, video clips that have been anonymized with Pimloc’s technology can be used for a variety of purposes - with employees, customers, corporate insurance companies, law enforcement and lawyers, all whilst remaining compliant with data privacy laws and regulations.
“Automated anonymization is the only way to keep up with changing privacy legislation and to responsibly unlock the value of aggregated video data for business operations.”
Simon Randall, CEO
An hour of CCTV can contain upwards of 2 million faces. Manually redacting every image of personal data from every frame of a video is a time-consuming, mundane and difficult task, that requires considerable attention to detail and can take compliance managers days or even weeks to complete for even a few minutes of video.
An hour of body-worn camera footage can contain 10k+ spoken words which also need PII automatically detecting and redacting.
Protecting all personal data in video by default allows businesses to stay compliant whilst sharing video content internally or with third parties.
With Pimloc’s AI, the task of redaction can be completed 200x faster - enabling companies to be far more efficient and accurate when it comes to anonymizing video footage, and opening up new opportunities for its use.
Responsible video management
Pimloc’s capabilities are currently being deployed across a range of sectors, including transport, public safety, telehealth, insurance, retail, policing and local government.
Automated, selective
video redaction
Automatically blur faces, heads and license plates in video streams and batch files at scale, for incidents and data compliance.
Manage your video compliance workflow with redacted live and captured video sharing, with encrypted storage options - enabling secure collaborations with 3rd parties.
Secure video storage
and sharing
Capture high-quality video metadata (people/vehicle counting in active zones, direction flows, movements and more) for wider video analytics and responsible monitoring.
Video metadata
Generate alerts from live video feeds based on video activity - react quickly and easily to potential issues and keep people and physical locations secure.
Anonymized live alerts
Run analytics on top of anonymized video metadata to understand more about behaviors and people flow (people/vehicle counting, loitering etc).
Video intelligence
Secure Redact detects and anonymizes over 99% of identifiable PII in security video. Our approach to PII detection is less sensitive to facial occlusion and change than normal detection systems - it performs equally well for people with facial hair, masks, glasses and other coverings.
PII detection accuracy
Flexible deployment for each customer’s small-scale, tailored or enterprise needs
SaaS
Directly access the Secure Redact video privacy platform online through the secure SaaS service.
APIs
Directly integrate Secure Redact into your existing video workflow platform or applications.
Enterprise
Enterprise level support for larger organisations, including admin capabilities, reporting and larger scale video processing options.