Car Side View
Girl building cinematic system

SheepTag

Semester
3
Duration
4 Months
Tools
Figma, Adobe Cloud

Semester project exploring solutions to protect sheep herds from wolf attacks – with the understanding that the real challenge isn’t the wolf, but how we coexist.

Introduction

With Germanys growing wolf population, sheep farmers face increasing challenges. SheepTag combines technology with practical application to create a sustainable solution.

Relevance

Context

Wolf attacks on livestock have risen in recent years. In 2023, 89.6% of wolf-killed animals were sheep or goats, with an average of 4.5 animals per attack. These incidents occur most in areas where wolves are newly settling, and farmers haven’t adapted. Proper herd protection can reduce losses.

Source: https://www.dbb-wolf.de/wolfsmanagement/herdenschutz/schadensstatistik (last visited 2023)

User Research

Insights

We conducted multiple expert interviews with representatives from sheep farming organizations, hobby hunters, shepherds, and the NABU, all of whom had direct experience with herd protection. These were some of our key insights:


  • Sheep instinctively group together when threatened, enabling focused monitoring

  • Wolves adapt quickly to fences and scent-based deterrents, making static solutions ineffective

  • Farmers prefer simple, cost-effective, and easy-to-integrate solutions

  • Herd dogs play a crucial role, but their training and upkeep are costly

  • The main challange is balancing herd protection with ecological responsibility

Outcome

Outcome

SheepTag is a modular, cost-effective system that integrates into existing farming practices. It includes three key elements:

Sheep-Wearable

Tracks heart rate, GPS, and sounds to detect stress, danger, and flock formation during threats. It’s modular, rechargeable, and worn by 30% of the flock for precise monitoring.

Camera System

Positioned at forest borders and key fence points to verify alarms and minimize false positives. Cameras can be added modularly, depending on the farmer’s needs.

Mobile App

Displays real-time health and location data, tracks the flock’s position (scattered or clustered due to danger), sends danger warnings, and facilitates farmer collaboration.

Asset A
Asset A
Asset A
Car Side View
Girl building cinematic system

SheepTag

Semester
3
Duration
4 Months
Tools
Figma, Adobe Cloud

Whether you're looking for inspiration, tutorials, or fresh perspectives, there’s something here for everyone.

Introduction

With Germanys growing wolf population, sheep farmers face increasing challenges. SheepTag combines technology with practical application to create a sustainable solution.

Relevance

Context

Wolf attacks on livestock have risen in recent years. In 2023, 89.6% of wolf-killed animals were sheep or goats, with an average of 4.5 animals per attack. These incidents occur most in areas where wolves are newly settling, and farmers haven’t adapted. Proper herd protection can reduce losses.

Source: https://www.dbb-wolf.de/wolfsmanagement/herdenschutz/schadensstatistik (last visited 2023)

User Research

Insights

We conducted multiple expert interviews with representatives from sheep farming organizations, hobby hunters, shepherds, and the NABU, all of whom had direct experience with herd protection. These were some of our key insights:


  • Sheep instinctively group together when threatened, enabling focused monitoring

  • Wolves adapt quickly to fences and scent-based deterrents, making static solutions ineffective

  • Farmers prefer simple, cost-effective, and easy-to-integrate solutions

  • Herd dogs play a crucial role, but their training and upkeep are costly

  • The main challange is balancing herd protection with ecological responsibility

Outcome

Outcome

SheepTag is a modular, cost-effective system that integrates into existing farming practices. It includes three key elements:

Sheep-Wearable

Tracks heart rate, GPS, and sounds to detect stress, danger, and flock formation during threats. It’s modular, rechargeable, and worn by 30% of the flock for precise monitoring.

Camera System

Positioned at forest borders and key fence points to verify alarms and minimize false positives. Cameras can be added modularly, depending on the farmer’s needs.

Mobile App

Displays real-time health and location data, tracks the flock’s position (scattered or clustered due to danger), sends danger warnings, and facilitates farmer collaboration.

Asset A
Asset A
Asset A
Car Side View
Girl building cinematic system

SheepTag

Semester
3
Duration
4 Months
Tools
Figma, Adobe Cloud

Whether you're looking for inspiration, tutorials, or fresh perspectives, there’s something here for everyone.

Introduction

With Germanys growing wolf population, sheep farmers face increasing challenges. SheepTag combines technology with practical application to create a sustainable solution.

Relevance

Context

Wolf attacks on livestock have risen in recent years. In 2023, 89.6% of wolf-killed animals were sheep or goats, with an average of 4.5 animals per attack. These incidents occur most in areas where wolves are newly settling, and farmers haven’t adapted. Proper herd protection can reduce losses.

Source: https://www.dbb-wolf.de/wolfsmanagement/herdenschutz/schadensstatistik (last visited 2023)

User Research

Insights

We conducted multiple expert interviews with representatives from sheep farming organizations, hobby hunters, shepherds, and the NABU, all of whom had direct experience with herd protection. These were some of our key insights:


  • Sheep instinctively group together when threatened, enabling focused monitoring

  • Wolves adapt quickly to fences and scent-based deterrents, making static solutions ineffective

  • Farmers prefer simple, cost-effective, and easy-to-integrate solutions

  • Herd dogs play a crucial role, but their training and upkeep are costly

  • The main challange is balancing herd protection with ecological responsibility

Outcome

Outcome

SheepTag is a modular, cost-effective system that integrates into existing farming practices. It includes three key elements:

Sheep-Wearable

Tracks heart rate, GPS, and sounds to detect stress, danger, and flock formation during threats. It’s modular, rechargeable, and worn by 30% of the flock for precise monitoring.

Camera System

Positioned at forest borders and key fence points to verify alarms and minimize false positives. Cameras can be added modularly, depending on the farmer’s needs.

Mobile App

Displays real-time health and location data, tracks the flock’s position (scattered or clustered due to danger), sends danger warnings, and facilitates farmer collaboration.

Asset A
Asset A
Asset A