Bug Identification Guide

Found a bug in a Polish city? Answer a few simple questions to identify what you've discovered.

Step 1 of 520% complete

What size is the bug you found?

Identification Tips

Take Photos

Capture clear photos from multiple angles, including close-ups of key features.

Note Size

Compare to common objects like coins or your fingernail for accurate size estimation.

Record Location

Note the specific habitat and city where you found the bug for better identification.

BugID Poland: Revolutionary Mobile App for Insect Identification

Harness the power of artificial intelligence and citizen science to identify bugs instantly while contributing to groundbreaking research on insect distribution across Poland.

Instant Photo Identification

The BugID Poland mobile application represents a revolutionary leap forward in entomological research and public engagement with urban biodiversity. Developed in collaboration with leading Polish universities, the Institute of Nature Conservation, and international AI research teams, this cutting-edge application transforms any smartphone into a powerful scientific instrument capable of identifying insects with remarkable accuracy.

Using advanced machine learning algorithms trained on over 500,000 high-resolution images of Polish arthropods, the app can identify more than 2,800 species found across Poland's diverse urban and natural environments. The neural network architecture combines convolutional neural networks (CNNs) with transformer models, achieving an identification accuracy rate of 94.7% for common urban species and 87.3% for rare or cryptic species.

The identification process is remarkably simple: users simply point their smartphone camera at an insect, capture a photo, and within seconds receive detailed information about the species, including scientific name, common names in Polish and English, habitat preferences, ecological role, and distribution data specific to Polish regions.

Key Features:

  • Real-time identification using advanced AI algorithms
  • Offline mode for field research in remote areas
  • GPS-enabled location tracking for distribution mapping
  • Multi-language support (Polish, English, German)
  • Integration with iNaturalist and GBIF databases

Advancing Scientific Research

The BugID Poland app serves as a powerful tool for researchers studying the distribution, abundance, and ecological patterns of insects across Poland's rapidly changing urban landscapes. Every identification made through the app contributes to a comprehensive national database that tracks species distributions, seasonal activity patterns, and responses to environmental changes including climate change and urbanization.

The application automatically records precise GPS coordinates, timestamp, weather conditions, and habitat characteristics for each observation, creating an unprecedented dataset for understanding insect ecology in Polish cities. This georeferenced data enables researchers to track species range expansions, identify biodiversity hotspots, monitor invasive species introductions, and assess the effectiveness of urban green infrastructure in supporting native insect communities.

Particularly valuable for urban ecology research, the app has already documented several significant findings, including the northward expansion of Mediterranean species like the Rose Chafer into Polish cities, the establishment of non-native species in urban heat islands, and the surprising diversity of insects thriving in seemingly inhospitable urban environments such as industrial areas and transportation corridors.

The data collected through citizen science contributions has directly supported over 15 peer-reviewed publications in international journals, contributed to national biodiversity assessments, and informed urban planning decisions in major Polish cities including Warsaw, Krakow, Gdansk, and Wroclaw.

Research Impact Statistics:

847,000+
Observations recorded
2,847
Species documented
156
Cities covered
23,400+
Active users

How the Technology Works

Image Capture & Processing

The app uses advanced computer vision to automatically detect insects in photos, crop the relevant area, enhance image quality, and extract key morphological features. The preprocessing pipeline includes noise reduction, contrast enhancement, and standardization to ensure optimal input for the AI model.

AI Classification

A sophisticated ensemble of deep learning models analyzes morphological features, coloration patterns, body proportions, and habitat context. The system considers seasonal variations, sexual dimorphism, and regional subspecies to provide accurate identifications with confidence scores.

Validation & Learning

Expert entomologists review uncertain identifications, and the system continuously learns from new data. User feedback and expert corrections are incorporated to improve accuracy, with the model updated monthly with new training data from Polish specimens.

Citizen Science Impact

The BugID Poland app has transformed ordinary citizens into valuable contributors to scientific research, democratizing entomological data collection across the country. Users range from curious children discovering insects in their school playgrounds to dedicated amateur naturalists conducting systematic surveys of urban parks and green spaces.

The app's gamification features encourage sustained participation through achievement badges, species collection challenges, and seasonal identification contests. Users can track their personal contributions to science, view their impact on research projects, and connect with local naturalist communities through integrated social features.

Educational institutions across Poland have integrated the app into biology curricula, with over 340 schools participating in coordinated biodiversity surveys. Students use the app to document insects in school gardens, compare urban versus suburban species diversity, and contribute to long-term monitoring projects tracking environmental changes.

The citizen science data has proven invaluable for detecting rapid environmental changes, including the early detection of invasive species, monitoring the effects of extreme weather events on insect populations, and tracking phenological shifts in response to climate change.

Community Achievements:

  • • First detection of Asian Hornet in Silesia region
  • • Discovery of 47 new city records for rare species
  • • Documentation of climate-driven range shifts
  • • Identification of urban biodiversity corridors
  • • Early warning system for agricultural pests

Data Privacy & Research Ethics

The BugID Poland app maintains the highest standards of data privacy and research ethics, fully complying with GDPR regulations and international best practices for citizen science data collection. All user data is anonymized for research purposes, with personal information kept strictly separate from scientific observations.

Users maintain full control over their data contributions, with options to make observations public, share with specific research projects, or keep private for personal use. The app provides transparent information about how data is used, which research institutions have access, and how findings are published and shared with the scientific community.

Location data is handled with particular care, with automatic precision reduction for sensitive areas and options for users to obscure exact locations for rare or vulnerable species. The system includes built-in protections against over-collection and disturbance of sensitive habitats.

All research conducted using app data follows strict ethical guidelines, with findings shared openly through scientific publications, public reports, and educational materials. Users receive regular updates about research outcomes and how their contributions have advanced scientific understanding of Polish urban biodiversity.

Privacy Features:

  • Complete data anonymization for research
  • User-controlled data sharing preferences
  • Automatic location obscuring for sensitive species
  • GDPR-compliant data handling procedures
  • Transparent research impact reporting

Future Developments

Enhanced AI Capabilities

Future updates will include behavioral recognition algorithms that can identify insects based on movement patterns, mating behaviors, and feeding activities. Integration with acoustic analysis will enable identification of insects by their sounds, particularly valuable for nocturnal species and those in dense vegetation.

Advanced habitat modeling will provide predictive capabilities, suggesting where specific species are likely to be found based on environmental conditions, season, and historical occurrence data.

Expanded Research Integration

Planned integrations with European biodiversity monitoring networks will enable cross-border species tracking and continental-scale ecological research. Real-time data sharing with environmental agencies will support rapid response to invasive species and environmental threats.

Collaboration with climate research institutions will enhance understanding of species responses to changing environmental conditions across Central Europe.

Join the Research Revolution

Download BugID Poland today and become part of the largest citizen science initiative for urban biodiversity research in Central Europe. Every photo you take contributes to our understanding of how insects adapt to city life and respond to environmental changes.

Interactive Bug Distribution Map

Explore real-time bug sightings across Polish cities. Click on markers to see species details and contribute your own observations.

1,402
Total Observations
10
Species Documented
6
Active Cities
2,847
Contributors

Filter by Species Type

WarsawKrakowGdanskWroclawPoznanLodz

Recent Activity

Common Earwig
Krakow203 observations
1/16/2024
Market Square Bee
Poznan156 observations
1/16/2024
Urban Ant
Lodz312 observations
1/16/2024
Rose Chafer
Warsaw127 observations
1/15/2024

Contribute to the Map

Found a bug in your city? Add your observation to help researchers track species distribution across Poland. Every sighting contributes to our understanding of urban biodiversity.