ApisBee Robotics

The Antwerp pioneer in autonomous mosquito control

ApisBee Robotics is a revolutionary deep-tech startup based in Antwerp that is tackling one of the world’s most persistent problems: mosquitoes. The company has developed the MosquitoHunter™, an autonomous drone the size of a honeybee that independently detects, identifies, and captures mosquitoes without the use of pesticides.

Inspired by the aerodynamics of pollinating insects, the MosquitoHunter™ combines advanced artificial intelligence, microcameras, and ultra-sensitive motion sensors. The drone can fly through gardens, greenhouses, parks, and even urban areas, distinguishing between beneficial insects such as bees and harmful mosquitoes. As soon as a mosquito is detected, it is safely captured and collected using a miniature vacuum system.

The company was founded in Antwerp by a team of engineers, biologists, and AI specialists who believed that traditional mosquito control could be smarter, more sustainable, and more environmentally friendly. From their innovation hub on the Scheldt, they are testing swarms of hundreds of drones that work together like a digital bee colony. Through a central AI platform, the drones share real-time information about mosquito populations and breeding sites.

The technology is attracting international attention because it offers an alternative to chemical pesticides. Hotels, municipalities, nature reserves, and farms are using the solution to reduce mosquito infestations without harming ecosystems. According to the company, a single swarm of fifty drones can protect an area of twenty hectares for an entire summer.

With investments from European technology and sustainability funds, ApisBee Robotics aims to position Antwerp as a global hub for bio-inspired robotics. Their vision is ambitious: a future in which millions of small drones around the world help combat mosquito-borne diseases, while ensuring maximum protection of biodiversity.

🛩️ Aerospace & Drone Engineers

Responsible for:

Design of Ultralight Drones
Flight Stability
Energy Efficiency
Aerodynamics Inspired by Insects

Profile:

Master of Civil Engineering in Aerospace
Experience with UAVs and microdrones
🤖 AI & Computer Vision Engineers

Responsible for:

Real-time mosquito recognition
Distinguishing between mosquitoes, bees, and other insects
Swarm intelligence
Autonomous navigation

Technologies:

Deep Learning
Edge AI
YOLO
Computer Vision
⚙️ Embedded Systems Engineers

Responsible for:

Miniature Electronics
Sensor Integration
Battery Management
Drone Operating Systems

Expertise:

ARM processors
FPGAs
Low-power systems
IoT
🔋 Battery and Energy Specialists

Responsible for:

Ultra-compact batteries
Energy optimization
Wireless charging
Energy management for drone swarms