The Largest China Road Data Computation Engine: Goose Q

Peju Olamhi
4 min readSep 26, 2019

Introduction

Welcome to everybody and much obliged for setting aside the effort to peruse my blog consistently, I am here again to talk about further on a similar venture have been investigating for quite a long time. As we as a whole know goose Q is the first and the biggest in China Street Information Calculation Motor, a stage that had been in presence for the past 10years and had figured out how to present a lot of cutting edge program that has the capacity of progressing blockchain and the use case all in all. Goose Q Stage primary capacity is to advance driving calling utilizing truck drivers as the principle use case, Aside from this Goose Q stage has additionally given responses to issues like information mining, logistics, street security, street data, web interconnectivity and issue identified with the logistics business. Full investigation on Goose q Stage, the issue Goose Q has illuminated, Goose Q Stage answers and how Goose q figured out how to take care of the issues expressed above will be talked about in subtleties underneath.

WHAT IS GOOSE Q

Goose Q is the first and biggest in China Street Information calculation Motor with 10 years of presence structured with the points of taking care of issues identified with Street, Information, Drivers, and the logistics industry. Goose Q is focused on turning into a pioneer and pioneer in blockchain for the logistics business by giving responses to the issue expressed above including the Jiama Detachment Application, The Daluka Sim Card, the Propelled driver help framework (ADAS), and so forth.

Problems IN THE LOGISTICS Industries

1. Low working effectiveness, high asset utilization, and genuine contamination

A lot of individuals had been influenced because of the absence of adequate assets expected to do their every day work effectively. Furthermore, placing China into thought, in spite of the fact that the financial increment has been fast, there have been numerous issues being developed of the logistics business and because of a lot of populace in the nation, it has not been simple for truck drivers in conveying and playing out their everyday task on the grounds that getting high assets that can vie for with the high populace and contamination in the nation has been one of the serious issue influencing truck drivers in China.

2. Truck drivers’ absence of humanistic consideration brings about immense operational dangers

Individuals consistently appears to underestimate driving callings particularly street drivers like taxi drivers, truck drivers, regardless of the way that everyone comprehends that driving is an extremely unsafe activity and those associated with the calling ought to be treated with consideration and regard however shockingly because of the high pace of innovation and different momentum developments, young people will in general look on such callings. This especially I will say is one of the key issues drivers are confronting worldwide yet on account of Goose Q Stage for giving responses to this and another related issue.

GOOSE Q ANSWERS

Goose Q principle answer to the issue examined above incorporate the Jiama Courier Application, The Daluka Sim Card, The Propelled driver help framework (ADAS). The Jiama Delivery person Application and The Daluka Sim Card capacities have been explored in my past blog so go along with me as I uncovered in subtleties the elements of the Propelled Driver Help Framework (ADAS) underneath.

The Propelled Driver Help Framework (ADAS)

To improve the wellbeing of truck drivers during driving, Goose Q Stage offers the need to the in-vehicle savvy equipment with ADAS capacities chosen by Goose Q and improve the driving knowledge of the truck driver however much as could be expected through specialized help. The elements of the Propelled Driver Help Framework (ADAS) include:

· Path takeoff cautioning framework

The path takeoff cautioning framework comprises of a camera where when the path takeoff cautioning framework is been turned on, the camera will consequently recognize the accurate path the specific truck ought to be and if there is some other truck or vehicle that are on an inappropriate path, the truck driver we be clue by the Path takeoff cautioning framework and will illuminate the driver on the most proficient method to rearrange in order to be sans risk.

· Forward Crash Cautioning

At the point when the vehicle savvy framework decides against that the vehicle is going to impact, the vehicle effectively makes a judgment for the driver and reminds the driver to effectively brake simultaneously, in this manner forestalling the event of a car crash and giving the driver the most complete insurance.

· Night Vision Framework

The night vision framework accommodated vehicle and truck to enable them to drive with more comfort in the night or when the vehicle is as of now experiencing low light issues. This framework will enable the driver to see obviously what’s going on in the street wherein will give the driver progressively complete and precise data or early cautioning for a potential threat.

· Driver Sleepiness Location

The Driver Tiredness Recognition innovation embraces savvy video investigation innovation, including face identification and human eye discovery examination for the driver to decide the exhaustion level of the recognized individual, and performs weakness alert and cautioning as indicated by the set standards. These highlights will help drivers when driving since it helps their eyes and shield the eyes from been too pushed when due to long separation driving.

Conclusion

The Goose Q stage is something other than a normal stage yet a unique stage with unique highlights that can change the lives of truck drivers in China. I ask all cryptocurrency adopters to sharp this undertaking and advantage in all highlights of the Goose Q stage.

For more information

Website: https://www.gooseq.com/

Medium: https://medium.com/goose-q

Telegram group: https://t.me/gooseQ

Github: https://github.com/GooseQ

Whitepaper: https://gooseq.com/img/GooseQ-whitepaper-EN-1.04.pdf

LinkedIn: https://www.linkedin.com/company/goose-q

Author Details

Bitcointalk Username: Ayomi007

Bitcointalk Profile link: https://bitcointalk.org/index.php?action=profile;u=2619587;

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