Remove weather cameras
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Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Smart Data Collective

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. Nor do you have to reach out to the newspaper to find out what the weather is going to be like throughout the day.

Analytics 130
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Reconstructing indoor spaces with NeRF

Google Research AI blog

Beyond that, it layers helpful information on top, like the weather, traffic, and how busy a place is. We describe our pipeline for creation of NeRFs, which includes custom photo capture of the space using DSLR cameras, image processing and scene reproduction. This approach has been used for all of our NeRF reconstructions to date.

ML 129
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8 Ways Machine Learning Can be Used to Make Cities Smarter

Smart Data Collective

With climate change on the rise, more severe weather events such as drought are becoming more prevalent. Often times, conservationists and ecologists will set camera traps in order to get a better idea of what animals are living in an area, what time they are active as well and to monitor human impact on wildlife. Public Safety.

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Every step and smell holds an insight

Dataconomy

Telemetry data is collected from remote devices, such as sensors, cameras, and GPS tracking devices ( Image credit ) What is telemetry data? Weather data Weather data refers to the data collected from weather stations, satellite imagery, or weather APIs.

Analytics 103
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Big Data and the Use of Satellite Imagery

Smart Data Collective

While onboard cameras and computers are smart enough to cope with the task, satellites don’t have enough space for big data storage or strong analytics. GIS-based weather forecasts are among the most common applications used by state and private businesses as well as ordinary people. This is where ground stations help.

Big Data 103
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AI-Based Voice Assistance Capabilities

Becoming Human

To provide meaningful insights in response to queries, virtual assistants often depend on digital data pertaining to traffic congestion, user schedules, retail prices, stock prices, weather conditions, and news. It provides weather updates, answers questions, and schedules tasks in response to voice queries.

AI 124
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Computer Vision Applications: The Breakthroughs They Power

Defined.ai blog

Using a combination of cameras, Light Detection and Ranging (LiDAR) , and radar, these vehicles interpret their surroundings, making split-second decisions that can prevent accidents. Smart shelves equipped with cameras can notify staff when restocking is needed, or a product is misplaced.