Our Use Cases Overview
SNTL IoT projects are currently being deployed indoor and outdoor, in different residential and business areas to try out different edge analytic devices. These devices are solely built and programmed by our IoT core team in SNTL.
Distributed Sensor Network with meta sound data inference in different residential estates in Singapore
Our Research Work
Our Technologies Involved
|Active Noise Shield||Sound Classification For Robot|
|Vehicle Noise Sensing||Soundscaping|
|Vehicle Tracking In Camera Network||Channel Assignment / Broadcast Scheduling|
|Ultra Low Power Indoor Localization||Secure Communication|
A large number of camera are installed in the campus. Vehicle tracking can be done in campus camera network. Reliable vehicle recognition from videos can provide statistical information for traffic monitoring and predictions. For such information to be useful, recognition should be done in real-time at an acceptable accuracy. Inspired by recent developments on deep-learning based object detection methods, this research attempts to apply convolutional neural networks to vehicle recognition from videos.
|Embedded Video Analysis||Super-Resolution|
|Action Recongnition||Abnormal Behavior Detection|