At Bettereye, we leverage the capabilities of computer vision (a branch of artificial intelligence) to allow camera systems to decipher the world like humans do, helping humans to identify and protect, faster and better. Simply put, Bettereye applications make sense of footage captured by cameras using cutting edge AI technology to increase productivity and generate awareness for their users.
We perform actions like:
The Bettereye Smarter-Vision Detector is a Security/CCTV application that is able to intelligently identify objects as a human would. After detection, it sends images to its Receptor which can be as common as an Android Phone. These notifications are sent to the user in real time, ultimately alerting views in real time before the real harm is done.
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NB: The Detector can be customized to identify a multitude of targets such as people, vehicles, and weapons. Click here to see other things the detector can do.
The receptor is simply an android application.It communicates with the detector on the same local network.When the detector sees a human figure it sends the image to the receptor . The receptor then raises a notification to create awareness. Also from the receptor the user can watch the recorded video of the person . In this way , the user does not constantly fix his eyes on a screen watching manually for intruders. Also there is way less false positives .And as the detector is in the form of a software , the detection model can be trained to suit your requirements.Get it on playstore for free.
The Detector's built in AI allows us to identify only what it is tasked to view. Also, since the recordings are segmented, it is easier to identify a target while an event is happening See more.
For maximum security instances, Bettereye Smarter-Vision can be made to detect people with harmful objects with maximum accurancy. Real time notifications provide prevention and detection across the network.
Implementation of High Accuracy Detection Methods can detect idividuals with face coverings and masks against non mask wearing people. Smart-Detector has an accuracy rate of 95%.
Implementation of Smart-People Tracking can identify a shopping mall full of people through Deep Learning Algorithms
implementation of a human counting system in a mall
Implimentation of Smarter-Detector for vehicals.
Implementation of a vehicle counting system
Implementation of a model which detects arms
Detect uses facial recognition AI to identify and track.