In our region of the United States, it is wise to regularly inspect the area around and beneath your car to ensure that wildlife hasn’t made it into a home. When a good-hearted woman saw a baby deer dozing beneath someone else’s automobile tire, she made the decision to intervene.
A woman wanted to make sure the car’s driver was aware that a baby deer was sleeping beneath a tire, so she shared this Facebook post, which quickly gained popularity.
The responses were heartfelt and occasionally humorous. Joshua Kevin Nye’s comment is the most well-liked one thus far:
You know it was an elderly woman, but how? Why, if you saw her, didn’t she just write a message instead of telling you there was a blasted deer under the tire? I’m looking for clarification!
Another comedian expressed their hope that the motorist was literate. I suppose you can’t always get that conclusion from the way some people drive.
Cyntha Atkinson was among the kinder individuals who valued this woman’s action:
Thank you for leaving the note, kind woman.
Thank you, Cyntha. One has to admire the heart of those who, rather than choosing to carry on with their lives as usual, choose to make a difference.
Would you have continued living your life, left a note, or attempted to get the deer to come out from under the car?
Here’s What You Need To Know If You See Someone Wearing Shoes
Computer scientists from Austria have introduced a groundbreaking shoe, called InnoMake, designed to help blind individuals navigate obstacles while walking,
Developed by Tec-Innovation and Graz University of Technology, this innovative shoe, priced at over $3,000, boasts waterproof ultrasonic sensors on each toe, capable of detecting obstacles up to 13 feet away.
As wearers approach objects, vibrations and sounds alert them, akin to parking sensors in vehicles. Markus Raffer, a visually impaired co-founder of Tec-Innovation, has lauded its effectiveness, noting personal benefits.
Each foot features a dedicated sensor, available as a complete shoe or retrofit option, capable of identifying an object’s nature, be it a wall, car, or stairs, and providing tailored alerts.
Future plans include incorporating camera-based recognition and machine learning for improved navigation assistance, potentially offering a “street view navigation map” for users.
Friedrich Fraundorfer at TU Graz emphasized the shoe’s potential to revolutionize the lives of visually impaired individuals, granting them greater independence and safety in navigating their surroundings.
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