The same concept can be applied to keyboards by using a thermal camera with the help of machine learning, but it also turns out that some types of keys and typing styles are harder to read than ...

Using machine learning to create cost-effective, high-quality automotive camera modules Let’s go over what you can do to ensure your ADAS systems are high performing, inexpensive, and efficient to ...

When combined with cloud services and, increasingly, machine learning, these are no longer just cameras or microphones but new endpoints or distribution for services. They're un-bundled pieces of ...

She tested the accuracy of her approach using more than a dozen traditional machine-learning and deep-learning algorithms.

It's not just iPhones, mind. Spectral Edge's machine learning also has potential for things like webcams, drones, and even the cameras used in autonomous vehicles.

The night images obtained with an all-sky camera can provide spatial and time sampling, which can be used for measurement cloud coverage measurement and meteor monitoring. The astrometric calibration ...

Their novel technique, which combines optical microscopy with a neuromorphic camera and machine learning algorithms, presents a major step forward in pinpointing objects smaller than 50 nanometers ...

Amazon's DeepLens, a deep learning enabled video camera, is now generally available and hitting the market for $249. AWS DeepLens is designed to run models via TensorFlow and Caffe in less then 10 ...

Their novel technique, which combines optical microscopy with a neuromorphic camera and machine learning algorithms, presents a major step forward in pinpointing objects smaller than 50 nanometers in ...

Professor Ernest Fokoue from RIT’s School of Mathematical Sciences is teaming up with the Rochester Police Department (RPD) to use statistical machine learning to analyze body-worn camera footage and ...