SignalVision (SVC)

1. Project Introduction

Signal Vision is a next-generation sound data collection platform. It builds big data by collecting sound data through various IoT devices and DApps.

Signal Vision seeks to collect various sound data in various IoT home network, car black box, and so on as well as DApp in mobile by constructing and utilizing the token economy ecosystem of blockchain. In addition, our accumulated data construct Big Data Warehouse and provide new service, technical and academical discovery via statistics, analysis and machine learning using Big Data. As the number of collected data increases, API for statistics, analyzing results and sound data itself will be released so that anyone can develop new services and seek various businesses.

2. Signal Vision Ecosystem

By using SVC tokens, users can rent IoT devices with Signal Vision ASIC chips from DApp. This means that SVC tokens can be used directly in real life. The cost of renting IoT devices is fixed, and the number is based on the liquidity and value of the SVC token. In addition, all services provided within the Signal Vision DApp Platform maintain and elevate the value of the token as it uses the SVC token.

Signal Vision’s DApp service includes crime prevention system, the convenience of living, and healthcare.

The crime prevention system provides portable voice recognition devices, and big data maps allow users to Crime occurrence areas. It also provides notification function and contact network system for crime prevention areas. The portable sound terminal also provides a service to receive compensation for SVC Token at the merchant. Signal Vision’s DApp provides services that diagnose various diseases by referring to individual voice data. Types of diseases include post-traumatic stress disorder, heart disease, cerebral palsy, postpartum depression, Parkinson’s disease, dementia, diseases caused by aging and so on. It also estimates the likelihood of developing apnea via personal snoring data.

3. Useful Links

Was this article helpful?

1 out of 1 found this helpful

Have more questions? Submit a request

Comments

0 comments

Article is closed for comments.