Zapping Mosquitos With Lasers Is a Real Thing, Thanks to AI
Inventor Steven Cheng is building AI-guided laser prototypes that identify and zap mosquitoes, with later versions adding wheels and infrared vision.
Intelligence analysis by GPT-5.4 Mini
CNET says inventor Steven Cheng has spent months building a computer-vision mosquito killer: a Canon camera, machine learning, a high-speed gimbal and a laser tuned to hit bugs while avoiding people, furniture and flammable objects.
A person built a smart bug-fighting machine that can spot mosquitoes and shine a laser at them, like a super-accurate video game turret. It is trying to catch the tiny pests without hitting people or furniture.
Analysis
What Cheng built
Inventor Steven Cheng has been posting videos of a mosquito defense system that uses machine learning to spot bugs and fire a laser at them. According to the article, the project went through multiple prototypes over about four months and was described by Cheng as an "artillery cannon guided by computer vision + deep learning."
The setup uses a Canon DSLR with a high-magnification zoom lens and software that identifies mosquitoes. Cheng said the research phase came with "countless bites all over my body," which helped motivate the work. The goal was not just to find mosquitoes, but to target them without harming people or household items.
Safety and iteration
CNET says the system was tuned to "roast" mosquitoes while detecting humans and flammable materials. When either appears in the targeting area, power to the laser is cut. Cheng later added a wide-angle lens to improve human and fire detection, then moved the camera onto wheels so it could hunt outdoors. Another version added a Gatling-gun-style design and infrared vision so the system could track insects in the dark.
Where it fits
The article frames the project as part science experiment, part seasonal mosquito warfare. It also notes that not everyone wants a laser defense system, pointing to more ordinary options like bug spray, Thermacells, hanging bug zappers, and the Bug-A-Salt. Cheng is not the only person chasing this idea: the piece mentions the crowdfunded Photon Matrix, a laser bug device expected to ship this summer with a basic version priced around $500.
The larger theme is that AI and sensors are being applied to a mundane problem with a highly technical answer: detect the insect, track it precisely, and eliminate it fast enough to matter.
Key points
- Steven Cheng has built several prototypes of an AI-guided mosquito defense system.
- The setup uses a Canon DSLR, computer vision, deep learning, and a laser to identify and zap mosquitoes.
- Cheng says the software detects people and flammable materials and cuts laser power if they appear in the targeting area.
- Later versions added wheels for mobility, a Gatling-gun-style design, and infrared vision for nighttime use.
- The article also mentions other mosquito-fighting options, including bug spray, Thermacells, bug zappers, the Bug-A-Salt, and the Photon Matrix laser device.
If the system works reliably, it could offer a more automated way to reduce mosquito bites without sprays or constant swatting. The article also suggests the idea is already moving beyond a one-off prototype, with added mobility, infrared vision, and more advanced tracking.
The biggest risk is that a laser-based bug killer is still a prototype and may be complex, expensive, or hard to trust around people and household items. The article also makes clear that simpler methods already exist, so this could remain a niche gadget rather than a mainstream solution.
