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Using Computer Vision and Visual Media to Extract Actionable Data

Video has become an essential part of our lives. Whether we are working, playing video games, or doing business, we create more and more video content. Video has become so common that we can’t even imagine life without it.

Video Data Graphic

But creating it is only part of the story. We need to be able to make sense of this video data. We need to be able to use it for different purposes. 

Did you know that a whopping 30,000 hours worth of video gets uploaded on YouTube every 24 hours!? 

Video data is one of the most abundant and un-leveraged digital assets. It is the lifeblood of the digital economy, and it is likely to increase manifold as technology makes it easier to capture and disseminate such data. But to be able to extract meaningful insight from this data, we need better tools and processes. 

Here’s a blog about how computer vision can help us with all these aspects of video data. 

How Can Video Data Help Care for the Elderly?

Assisted living is critical to care for the elderly and help them live longer and be healthier and happier!

eldery couple holding hands

A simple approach to promoting care through artificial intelligence is to use technology to monitor health.

Several companies and their research departments are developing Artificial Intelligence (AI) and Machine Learning (ML) tools that can leverage data from video, like CCTV cameras, mobile phones, and others, to create tools that can help care for the elderly.

Such research investments are particularly beneficial in states and countries where the elderly care industry lacks personnel and resources.

Here are some ways how video data could be useful

1. Analyze Patterns
You can use Video data to monitor and analyze older adults, particularly those who suffer from ailments like dementia, heightened anxiety attacks, and dissociative identity disorder (DID), to provide the necessary therapy by accurately pointing out their triggers through their everyday routine and patterns.

2. Help Elderly Care Professionals Do a Better Job
By understanding and predicting the behaviors of the elderly using computer vision, the AI engine can make intelligent recommendations to the caregivers of the elderly to deliver personalized services that can meet the needs of the elderly in a better way.

3. Help Caregivers Take Precautions
Several elders are at high risk of falling. The fall could be due to several factors, like sudden fluctuation in blood pressure, iron deficiency, weak muscles, and arthritis. Unfortunately, all the listed ailments are surprisingly common in senior citizens. Other risks include fainting, seizures, dehydration, and more.

With video data, caregivers can be trained and warned of the potential risks of different older people and take preventive measures accordingly.

4. Make Informed Nutrition Choices
Keeping a healthy diet is of utmost importance for people of all ages. However, for the elderly, the ramifications of overlooking a healthy diet are more severe.

With powerful AI engines, computer vision, and visual media data, the software can be developed that can estimate, with impeccable accuracy, the vitamin and mineral content in a fruit or vegetable with nothing but a camera pointed towards it. This would revolutionize not just elderly care but also the food industry!

Conclusion

Using AI and ML to make data-driven decisions is nothing new in the tech world.

ML algorithms are used in several sectors, including law and real estate, to process documents, interpret, and extract information using NLP and computer vision.
AI and machine learning algorithms use computer vision and Natural Language Processing (NLP) to understand healthcare drug chemistry and genetic markers. But bringing that to video is one step further.

Supporting the elderly and the elderly care system is a growing challenge across the world. Our team is passionate about improving AI and computer vision to make a meaningful impact in the lives of the elderly and their caregivers.

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