Introducing BioLock: a smart system by SoftServe for continuous authentication and monitoring of human well-being, based on elec trocardiogram (ECG) analysis with biosensors embedded into a vehicle’s steering wheel and a mobile application working in offline mode.
If your company works with highly sensitive information, chances are probable that you might be interested in additional security systems built with continuous biometrical authentication with ECG, the technology behind authentication that may be used with Bluetooth Low Energy (BLE) powered devices.
Organizations in industries such as healthcare, have a large amount of sensitive information and manage access to it through password policies which require a lot of time and effort. What’s more, it is not always efficient. Employees need to change standard passwords on a regular basis, some of them expire, some get forgotten, with additional services then being involved to figure everything out. All these circumstances lead to extra costs and priceless time spent for device management.
With digital technologies being at heart of the modern life, password management may be solved with small custom devices that work for a long time on a single battery charge. Those devices collect ECG data and transfer it to a mobile phone via a BLE channel for further processing.
“Visibility is key to supply chain security. With BioLock’s technology, we’ll know if the correct driver is manning the truck at all times. Integrating with BioLock will not only provide Overhaul, our drivers and clients with an extra layer of cargo security but it will also prevent cargo theft ensuring successful hauls each time,” says Overhaul CEO Barry Conlon.
Enter SoftServe BioLock: a smart IoT device for biometric authentication. For this particular innovation, our team created a custom ECG reader device, placed it onto a printed cover for a mobile device and then embedded it into a steering wheel. The fi rst stop on our way to the concept design was literature review and state-of-the-art algorithms research, along with dozens of experiments executed in simulated real-life conditions to collect the data for analysis.
As you can see, the data quality is much better, and even by visual assessment, you can say that ECG from both users are different. After this step, data can be used for proper NN training.
Want to see this technology in action? Watch the BioLock video today.