Patient Movement Tracker

Identifies and monitors the movements of individuals within a healthcare setting. This technology applies to automate physiotherapy in hospitals, clinics, or other healthcare facilities to enhance patient care, safety, and workflow efficiency.

Use Case
Object Detection

The healthcare sector, especially in physiotherapy and rehabilitation, faces significant hurdles in tracking patient movements effectively. Conventional, manually-intensive methods are riddled with issues such as human error and inconsistency. These problems not only compromise patient safety but also add inefficiencies to patient care. A technological revolution is essential for enhancing patient monitoring in these settings.


In partnership with healthcare professionals, we have engineered a sophisticated Patient Movement Tracker. This system, powered by cutting-edge Object Detection technology, is tailored to the specific needs of healthcare environments.

Object Detection Integration: The core of our system lies in its advanced object detection algorithms. These algorithms enable the system to track and analyze patient movements with high precision, identifying specific patterns crucial for effective physiotherapy treatment.

User Interface and Customization: We have designed the system to be as user-friendly as possible, allowing medical staff to monitor patient activities effortlessly. Additionally, the system's customizable nature ensures it can adapt to the varied requirements of different healthcare settings.

Client Collaboration: Our involvement was critical in helping our client navigate the complexities of developing and deploying this solution, ensuring it met their specific requirements and challenges.

  1. Enhanced Patient Safety: Marked decrease in incidents of patient falls and unsupervised movements.
  2. Improved Treatment Outcomes: Our system aids in accurately tracking patient progress, leading to more effective and tailored treatment plans.
  3. Operational Efficiency: This technology has streamlined the tasks of healthcare staff, allowing them to focus more on critical patient care.

Techstacks Used

Technologies and Tools
• Computer Vision: Python with PyTorch framework. • User Interface Design: ReactJS, Adobe XD. • Data Analytics and Processing: Apache Spark, Hadoop. • Security and Privacy: OpenSSL, HIPAA compliance tools.

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