Our mission is to prove that the impact of all climatic and weather-related natural disasters can be predicted.
We predict the occurrence of climatic and weather-related natural disasters and the estimation of loss caused by them. Once the predictive analytics become advanced with developments in research, evolution of technology, and the internet of things, these events will eventually become predictable. We shall continue to release products that will build the foundation for achieving this at the earliest. The name Vesta is derived from the terms "prove" and “predictable.”
We create in-house apps on weather and disasters for our end users. We pursue innovative functions, usability, and the timely release of new products. The main processes we use are hypothesis testing and interviews.
We deliver models and applications to our clients after conducting thorough academic research on weather and disasters. We have rich experience in developing products for the Amazon Web Services cloud. We also provide extensive knowledge of coding and implementation of applications.
Update CMAP which is the real-time loss prediction website. see Newsletter- Takeshi Okazaki, Vesta Inc. 5 June 2020
Uploaded the photos of the field survey of Typhoon Hagibis (No.19) in 2019 to Blog. see Blog- Takeshi Okazaki, Vesta Inc. 14 October 2019
Uploaded the photos of the field survey of Typhoon Faxai (No.15) in 2019 to Blog. see Blog- Takeshi Okazaki, Vesta Inc. 15 September 2019
In order to facilitate flood and landslide damage assessment, we propose an evaluation method that can predict the total number of damaged houses with high accuracy immediately after a disaster. To improve accuracy, we narrowed the exposure down by using low-lying and landslide high-risk areas and apply the precipitation of 15-year return period as a threshold to the original precipitation to take account of disaster preparedness by each local government. When applied to two heavy rain events occurred in 2017 and 2018 and validated the method, we confirmed that it can be well reproduced in any prefecture.see publication
During a loss assessment after a disaster, a drone is useful to take the photos of the building roof. However, there is a possibility of touching with obstacles and persons when using drone. Therefore, in this study, we developed the system that can control drone in real-time by combining the object detection called YOLOv2 with the drone control program. By outdoor test flights, we confirmed that the system can recognize the person's position and control the drone’s movement according to the position.see publication
In order to facilitate typhoon damage assessment, we propose an evaluation method that can predict the total number of damaged houses with high accuracy immediately after a disaster. The exposure was developed in building level and the buildings characteristics were taken into consideration such as construction year, roof shape, and roof area. Since the roof related information was not collected in any industry, analyzed by deep learning applied to aerial imageries. When applied to three typhoons in 2015 and validated the method, we confirmed that it can be well reproduced in any prefecture.see publication
The loss caused by typhoons and floods are generally borne by non-life insurance companies instead of individuals. These companies retain a large quantum of accumulated risk. Current efforts by the non-life insurance industry form an important aspect of reflecting on the history of catastrophe modeling and wind engineering in Japan. The industry uses a typhoon simulation model based on the Monte Carlo simulation for risk management. This paper presents its historical background, provides an overview of the typhoon model, and posits future challenges.see publication
A new website called cmap.dev assesses in real time the number of damaged buildings for each municipality at the time of a disaster. We interviewed Dr. Takeshi Okazaki regarding his views about this first-ever attempt of its kind.see publication
The members of our team are highly qualified professionals in weather, disasters, and disaster prevention and are very experienced academic researchers as well. We also collaborate with highly skilled app development engineers and designers.
Our office is located in Plug and Play (PnP) in Shibuya, Tokyo, Japan. PnP is a co-working space.
Yes, we do. We take a wide range of approaches on contract-based development, including extensive knowledge, and we propose products that exert a positive impact on society. Most of our clients are non-life insurance companies, but orders from other industries are welcome. Please contact us at firstname.lastname@example.org
Many companies can develop apps and have the expertise to analyze the weather and predict disasters. However, only a few companies have the skill and ability to develop new helpful products using updated technology to predict, calculate and mitigate losses. We differentiate ourselves from other companies by offering untapped services.