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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
Structured notice only
Titre original de l'avis

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

Score d'opportunité

Needs reviewHigh complexity
ServicesExpired
Pourquoi ce score ?

Opportunité

55 / 100

Complexité

75 / 100

Facteurs de risque

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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Informations clés

Pouvoir adjudicateur
Centrum Koordynacji Projektów Środowiskowych
Pays
Pologne
CPV
72212500 - Communication and multimedia software development services +1 autres
Date limite
Jul 20, 2026

Aperçu

Moderate opportunity

Faits clés

  • 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.
Afficher le résumé complet

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.

Risques

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...

L'analyse peut être incomplète

Seule une partie des documents de consultation a été analysée. Des exigences, certificats ou documents de soumission supplémentaires peuvent exister dans les documents restants.

Exigences clés

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.

Les exigences peuvent être incomplètes.

Critères d'attribution

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%

Acheteur

Localisation

Warszawa, POL

Profil acheteur

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Identifiant

7010041263

Activité

Environmental protection

Lots (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

Localisation

PLZZZ, Poland

Durée

180 DAY

Catégorie

Communication

Critères d'attribution

Best price-quality ratio

Date limite

Expired Jul 20, 2026

Détails de la procédure

Date de publication
17 Jun 2026
Langues
Polish

Métadonnées de référence

Base juridique
32014L0024

Identifiants de référence

ID de l'appel d'offres
419717-2026

Documents (1)

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