The Facial Recognition Toilet Paper Dispenser Stops TP Bandits
Michael Hines — March 22, 2017 — Unique
References: news.163 & shanghaiist
Beijing's Temple of Heaven Park has come up with a tech-savvy way to deter toilet paper thieves: a facial recognition toilet paper dispenser. Apparently the park was having problems with toilet paper theft, claiming that each of its restrooms was losing up to 30 rolls of toilet paper per day due to thieves. This new bit of tech has been rolled out for a two-week trial in an effort to stop the stealing.
The facial recognition toilet paper dispenser scans the face of restroom-goers, storing it in its memory bank and issuing them a 60 centimeter (23.6 inch) strip of toilet paper. Those needing more can get it, but only after nine minutes has passed. Reaction to the machine has been mixed, with the park's operators pointing out that it will be removed if the overall reception is negative.
The facial recognition toilet paper dispenser scans the face of restroom-goers, storing it in its memory bank and issuing them a 60 centimeter (23.6 inch) strip of toilet paper. Those needing more can get it, but only after nine minutes has passed. Reaction to the machine has been mixed, with the park's operators pointing out that it will be removed if the overall reception is negative.
Trend Themes
1. Facial Recognition Technology - Implementing facial recognition technology in various industries to enhance security and deter theft.
2. Smart Restroom Solutions - Developing innovative technologies for public restrooms to optimize resource usage and prevent vandalism.
3. Anti-theft Measures - Creating advanced systems and devices to combat theft in public spaces and improve overall security.
Industry Implications
1. Parks and Recreation - Adopting facial recognition technology in park facilities to prevent theft and improve resource management.
2. Hospitality - Integrating smart restroom solutions in hotels and resorts to enhance guest experience and minimize supplies misuse.
3. Retail - Implementing anti-theft measures, such as facial recognition technology, in stores and malls to reduce theft incidents and improve customer safety.
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