344
Productivity & Workflow355
Automation & Workflow225
Software Development251
Marketing & Growth193
AI Infrastructure & MLOps176
Writing & Content Creation204
Photography & Imaging156
Data & Analytics142
Design & Creative170
Customer Support133
Sales & Outreach125
Education & Learning131
Voice & Speech135
Operations & Admin87
A Chinese startup says it can use LiDAR sensors and AI to track mosquitoes and hit them with a laser, but independent safety tests are not shown.
In short: A Chinese startup, Photon Matrix Lab, says it has built a device that finds mosquitoes with car-style sensors and disables them with a laser.
Photon Matrix Lab told reporters it adapted LiDAR, a sensor system used in some self-driving cars. LiDAR works a bit like a very fast tape measure that uses light instead of a physical string. It sends out light pulses and measures how they bounce back to map what is nearby.
The company says its device scans a room for small flying targets, then tracks them in real time. It also says it uses AI-based target recognition, which means software that tries to tell the difference between a mosquito and other moving things, like dust or a moth. Once it decides a target is a mosquito, a laser aims at it.
Photon Matrix Lab says it designed the system to avoid firing at people, pets, and reflective surfaces, like mirrors. It has also moved toward commercial production, with reports describing planned shipments and expanded manufacturing. However, these performance and safety claims are from the company and were not independently verified in the coverage.
Mosquito control is usually a tradeoff between convenience, cost, and safety, from sprays to traps. A device that can automatically spot and stop mosquitoes could sound appealing for homes, especially in places where bites can spread disease.
Still, key questions remain unanswered without independent testing. That includes how well it works in real rooms, how often it misses, whether it can mistake other insects, and how safe it is around people and animals over long periods.
Source: NYTimes