Some of these capabilities are unique to HP. For example, by installing HP’s Pixel Intelligence software, a print service provider could analyze a large collection of images such as wedding photos in a batch operation, automatically group faces of the same person together with high accuracy, and select the photos with the best facial image quality for inclusion in a wedding photobook. Other capabilities are offered by competing companies, but only through their own cloud servers.
“With Pixel Intelligence, you can host the processing software within your own data center, saving you time and bandwidth while keeping your data secure and private,” notes Dr. Lin.
The Pixel Intelligence portfolio is the result of close collaboration with HP’s Print Software Platform team. It was launched on HP’s developer site last fall and was presented to the Digital Solutions Cooperative (DSCOOP) of HP technology users in Phoenix this spring, with a repeat presentation at DSCOOP in Lyon in early June. It’s already drawing interest from photo services companies interested in increasing personalized print workflows and automating the creation of high quality print products.
“A lot of these companies don’t have the resources for artificial intelligence research, so they are very interested in licensing our technology,” Dr. Lin says. “We’re also hearing from companies in a wide range of industries - retail, health, security, and finance, for example – that want to know more about these capabilities.”
Computer vision remains a continuing area of interest in HP Labs. Dr. Lin and her colleagues keep improving their existing algorithms and will add any new algorithms to the Pixel Intelligence portfolio.
They are also tackling new challenges, such as improving techniques for identifying 3D objects and applying advanced computer vision to ambient computing technologies that anticipate human needs and proactively address them.
“We are already placing image-gathering sensors in more devices and more places than ever before,” observes Dr. Lin. “So we see a lot of potential for this technology in future smart home, smart office, and mobile applications.”