Fall Detection

Computer vision-based fall detection has diverse use cases, including elderly care facilities, home monitoring systems, hospitals, public spaces, industrial sites, sports monitoring, smart wearables, virtual assistants, and disability support. It ensures prompt response to falls, reducing injury risks. By monitoring residents, caregivers are alerted in care facilities, while home systems notify family or emergency services. Hospitals track high-risk patients, public spaces aid fallen individuals, and industrial sites enhance worker safety. Sports applications alert coaches/trainers, wearables notify caregivers/emergency services, and virtual assistants assist in smart homes. Fall detection helps individuals with disabilities, enabling timely aid. Overall, computer vision-based fall detection optimizes safety measures across domains.

Create an alternative solution based on computer vision

Our device can be placed strategically in key locations in your home.

SparkIntelligence has developed a cutting-edge solution that harnesses the power of computer vision and deep learning to detect individuals who fall then promptly notify relevant emergency services and designated emergency contacts. This groundbreaking innovation involves the utilization of advanced devices specifically designed to accommodate state-of-the-art computer vision algorithms.

Product Overview

Our device can be strategically installed to optimize viewing angles and capture comprehensive footage. While in operation, it utilizes advanced deep and active learning techniques to detect individuals who have fallen and promptly notifies the relevant emergency services and designated contacts. This integration of cutting-edge algorithms allows for continuous learning and adaptation, resulting in highly accurate predictions.