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“Cameras provide rich information to monitor health. It could help track exercise habits and other activities of daily living, or call for help when an elderly person falls,” said Yasha Iravantchi, a doctoral student in computer science and engineering who will present PrivacyLens July 18 at 4:30 p.m. BST session of the Privacy Enhancing Technologies Symposium in Bristol, U.K.

Study: PrivacyLens: On-Device PII Removal from RGB Images using Thermally-Enhanced Sensing (DOI: 10.56553/popets-2024-0146)

Objective lenses are the primary lenses closest to the object being looked at in a microscope. They are like the eyes of the microscope. Additionally, these lenses gather light from the specimen (the tiny thing you want to see) and magnify it, making the model appear more prominent and transparent.

The device could not only make patients more comfortable with chronic health monitoring, but it could also help protect privacy in public spaces. Vehicle manufacturers could potentially use PrivacyLens to prevent their autonomous vehicles from being used as surveillance drones, and companies that use cameras to collect data outdoors might find the device useful for complying with privacy laws.

A microscope is a unique tool that helps us see very tiny things, like little bugs or cells, which are too small for our eyes to visit independently. It uses a combination of lenses and light to make these tiny things look more prominent and transparent.

A new camera could prevent companies from collecting embarrassing and identifiable photos and videos from devices like smart home cameras and robotic vacuums. It’s called PrivacyLens and was made by University of Michigan engineers.

Objective lenses are like magic glasses for microscopes. They are the lenses closest to the tiny things we want to see. Different objective lenses have other powers to zoom in and show these little things in more detail. They are super important because they determine how much we can see and how clear the tiny things appear under the microscope.

That extra anonymity could prevent private moments from leaking onto the internet, which is increasingly common in today’s world laden with camera-equipped devices that collect and upload information. In 2020, a photo of a person on the toilet appeared on an online forum. The person didn’t realize their iRobot Roomba had wandered into the bathroom, and that all its photos were sent to a start-up company’s cloud server. From there, the photos were accessed and shared on social media groups, according to an investigation by MIT Technology Review.

Understanding the critical role of objective lenses in a microscope is essential for compelling microscopic observations, with each lens offering a unique magnification and clarity. Factors like numerical aperture, working distance, and correction collars significantly impact lens performance, underscoring the importance of appropriate lens selection. Maintaining and carefully handling objective lenses is crucial to ensuring their longevity and sustaining high-quality microscopy.

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Replacing patients with stick figures helps make them more comfortable having a camera in even the most private parts of the home, according to an initial survey of 15 participants. The team has incorporated a sliding privacy scale into the device that allows users to control how much of their faces and bodies are censored.

“Our survey suggested that people might feel comfortable only blurring their face when in the kitchen, but in other parts of the home they may want their whole body removed from the image,” Sample said. “We want to give people control over their private information and who has access to it.”

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Raw photos are never stored anywhere on the device or in the cloud, completely eliminating access to unprocessed images. With this level of privacy protection, the engineering team is hoping to make patients more comfortable with using cameras to monitor chronic health conditions and fitness at home.

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“A smart device that removes personally identifiable information before sensitive data is sent to private servers will be a far safer product than what we currently have.”

“Most consumers do not think about what happens to the data collected by their favorite smart home devices. In most cases, raw audio, images and videos are being streamed off these devices to the manufacturers’ cloud-based servers, regardless of whether or not the data is actually needed for the end application,” said Alanson Sample, U-M associate professor of computer science and engineering and the corresponding author of the study describing the device.

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“There’s a wide range of tasks where we want to know when people are present and what they are doing, but capturing their identity isn’t helpful in performing the task. So why risk it?” Iravantchi said.

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Sample has filed a provisional patent for the device, with the help of U-M Innovation Partnerships, and hopes to eventually bring it to market.

PrivacyLens uses both a standard video camera and a heat-sensing camera to spot people in images from their body temperature. The person’s likeness is then completely replaced by a generic stick figure, whose movements mirror those of the person it stands in for. The accurately animated stick figure allows a device relying on the camera to continue to function without revealing the identity of the person in view of the camera.

“But this presents an ethical dilemma for people who would benefit from this technology. Without privacy mitigations, we present a situation where they must weigh giving up their privacy in exchange for good chronic care. This device could allow us to get valuable medical data while preserving patient privacy.”

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Objective lenses can uniquely make small objects look much more significant. The number on the lens, like 4x, 10x, 40x, tells you how much the lens magnifies the specimen. The higher the number, the more the lens enlarges the object. Besides magnification, objective lenses also help determine how sharp and clear the image is, called resolution. The better the lens, the more details you can see in the tiny object.