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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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Structured notice only
Original notice title

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
Why this score?

Opportunity

55 / 100

Complexity

75 / 100

Risk factors

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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Deep Company Fit Analysis

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Tender facts

Contracting authority
Centrum Koordynacji Projektów Środowiskowych
Country
Poland
CPV
72212500 - Communication and multimedia software development services +1 more
Deadline
Jul 20, 2026

Overview

Moderate opportunity

Key Facts

  • 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.
Show full summary

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.

Risks

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...

Analysis may be incomplete

Only part of the procurement documentation was analyzed. Additional eligibility requirements, certificates, or submission documents may exist in the remaining tender documentation.

Key Requirements

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.

Requirements may be incomplete.

Award Criteria

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%

Buyer

Location

Warszawa, POL

Buyer profile

Open profile

Identifier

7010041263

Activity

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

Location

PLZZZ, Poland

Duration

180 DAY

Category

Communication

Award Criteria

Best price-quality ratio

Deadline

Expired Jul 20, 2026

Procurement Details

Publication date
17 Jun 2026
Languages
Polish

Reference metadata

Legal basis
32014L0024

Reference IDs

Tender ID
419717-2026

Documents (1)

Procurement document 1

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