With increasing focus on privacy and regulations like GDPR, organizations need ways to leverage video analytics while protecting individuals' identities. One practical and effective method is object blurring—masking people and other identifiable elements in video footage without losing the ability to extract meaningful data.
To be able use video analytics in environments where privacy is critical, such as retail, healthcare, public spaces —without violating regulations or trust intuVision VA features object blurring for people, vehicles and other identifiable objects to meet privacy standards.
intuVision VA includes built-in tools to automatically blur tracked objects, to anonymize individuals or vehicles.
Object blurring functionality is available in both live video stream output (via RTSP) and event review in the intuVision Review Application, making it applicable to a range of use cases.
In one deployment, a grocery store wanted to monitor customer service times at check-out lines. intuVision VA’s people blurring feature enabled the store to collect needed data while maintaining customer privacy by:
Each cash register interaction was tracked with the duration logged, providing data to be exported as a CSV file or visualized through average service time graphs.
intuVision VA provided the store the actionable data to improve service efficiency while staying compliant with privacy regulations.
At a major hospital deployment, by using intuVision VA to monitor patients at risk of falls, healthcare providers have been able to enhance patient safety and reduce associated healthcare costs — delivering better outcomes for both patients and hospital operations.
In addition, intuVision VA’s Object Blur feature is utilized in hospitals for monitoring bedridden patients’ rooms. An audit trail of patient care procedures is made available for examining and supervising, while ensuring patient privacy and comfort during certain procedures.
intuVision VA’s object blur tool provides a simple yet powerful way to protect privacy without sacrificing analytical value. Whether you're measuring service times, monitoring foot traffic, or analyzing behavior patterns, you can do so responsibly and effectively.