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Development of an IT system using artificial intelligence (AI) for individual identification of lynx

Centrum Koordynacji Projektów Środowiskowych·Warszawa, Poland·Expired · Jul 20, 2026·Open·Services
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Originaltitel der Bekanntmachung

Poland – Communication and multimedia software development services – Opracowanie systemu informatycznego wykorzystującego sztuczną inteligencję (AI) do identyfikacji osobniczej rysi (Lynx lynx) na zdjęciach i filmach wideo pochodzących z fotopułapek

55/100

Opportunity Score

Needs reviewHigh complexity
ServicesExpired
Warum diese Bewertung?

Chance

55 / 100

Komplexität

75 / 100

Risikofaktoren

No estimated value disclosed; contractors may face difficulty pricing the tender appropriately. Potential for the budge...

Strict experience requirements with specific conditions (e.g., at least 1 service including training/deployment/API, an...

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Eckdaten der Ausschreibung

Öffentlicher Auftraggeber
Centrum Koordynacji Projektów Środowiskowych
Land
Polen
CPV
72212500 - Communication and multimedia software development services +1 weitere
Frist
Jul 20, 2026

Überblick

Moderate opportunity

Wichtige Fakten

  • Services contract
  • 1 lot
  • Duration 180 DAY
  • Develop an AI model capable of animal detection, species classification (lynx detection), and individual identification of lynx from camera trap images and videos.
  • Implement a web application for data import, analysis results, verification, data management, and user management.
Vollständige Zusammenfassung anzeigen

Single lot tender for development of an AI system for individual identification of lynx from camera trap images and videos. The project is EU-funded under Interreg PL-SK. The buyer is Centrum Koordynacji Projektów Środowiskowych (Center for Environmental Project Coordination), a public body in Poland. The tender uses an open procedure with electronic submission. No estimated value is provided. The deadline for submission is 2026-07-20 10:00 Warsaw time. Only the TED XML notice was available for analysis; no procurement documents were analyzed.

Risiken

No estimated value disclosed; contractors may face difficulty pricing the tender appropriately. Potential for the budge...

Strict experience requirements with specific conditions (e.g., at least 1 service including training/deployment/API, an...

Analyse kann unvollständig sein

Nur ein Teil der Vergabeunterlagen wurde analysiert. Weitere Anforderungen, Zertifikate oder Einreichungsdokumente können in den übrigen Unterlagen enthalten sein.

Wichtige Anforderungen

Technical

  • The system must use AI/ML methods, specifically deep learning for image/video analysis.
  • The solution must be capable of re-identification of individual lynx.
  • The web application must allow data import, result verification, and user/data management.

Anforderungen können unvollständig sein.

Zuschlagskriterien

Lot 1

Price criterion with weight 60% — 60%Quality criterion: Delivery time for Stage I with weight 20% — 20%Quality criterion: Delivery time for Stage II with weight 20% — 20%

Auftraggeber

Ort

Warszawa, POL

Auftraggeberprofil

Profil öffnen

Kennung

7010041263

Tätigkeit

Environmental protection

Lose (1)

LOT-0001

Development of an IT system using artificial intelligence (AI) for individual identification of lynx

Development, implementation, and launch of an IT system using AI methods for automatic analysis of photo and video materials from camera traps to monitor lynx population. The system includes an AI model for animal detection, species classification, and individual identification, plus a web application for data import, result analysis, verification, and user management. The lot covers all aspects detailed in the SOPZ (attachment 1) and PPU (attachment 2). Duration: 180 days.

ServicesEU fundedElectronic submission

Ort

PLZZZ, Poland

Dauer

180 DAY

Kategorie

Communication

Zuschlagskriterien

Best price-quality ratio

Frist

Expired Jul 20, 2026

Vergabedetails

Veröffentlichungsdatum
17 Jun 2026
Sprachen
Polish

Referenzmetadaten

Rechtsgrundlage
32014L0024

Referenz-IDs

Ausschreibungs-ID
419717-2026

Dokumente (1)

Vergabedokument 1

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