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Healthcare Leadership, Policy & Digital Health News India > Blog > Health Tech > Singapore Startup Secures Funding to Turn Cameras into Contactless Health Monitors

Singapore Startup Secures Funding to Turn Cameras into Contactless Health Monitors

Published: April 21, 2026
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A Singapore based healthtech startup has raised funding to advance contactless health monitoring technology, enabling real time tracking of vital signs using AI and camera based systems without physical contact.

Glimpse:

Announced in April 2026, healthtech startup injewelme raised around $1–1.2 million in funding led by Temasek Trust’s Catalytic Capital for Climate and Health, with participation from the Richardson Family. The company’s AI-powered platform uses camera-based remote photoplethysmography (rPPG) to measure over 20 vital parameters such as heart rate, blood pressure, and oxygen levels in under 30 seconds.

Artificial intelligence in radiology has long promised faster diagnoses andav improved accuracy but one challenge has consistently held it back: fragmentation. Hospitals often rely on multiple AI tools that don’t seamlessly work together. That’s exactly the problem DeepTek and deepc are now aiming to solve.

Originally founded in South Korea in 2020, injewelme focuses on AI-driven preventive and personalized healthcare solutions. Its flagship technology, DeepHealthVision (DHV), enables users to measure vital signs using only a camera eliminating the need for wearable devices or physical sensors.

The system leverages remote photoplethysmography (rPPG), a technique that detects subtle changes in skin color caused by blood flow. By analyzing these signals with AI, the platform can assess more than 20 health parameters including heart rate, oxygen saturation, and estimated blood pressure in just 30 seconds.

Clinical pilots conducted with SingHealth Polyclinics and private partners have shown promising results, with the technology achieving around 95% detection accuracy in real-world settings.

Beyond real time monitoring, the company is also developing DeepHealthNet, a predictive AI system that analyzes longitudinal health data to identify risks and forecast potential health issues. Additionally, injewelme offers gamified health management tools aimed at encouraging healthier behaviors among younger users.

The newly raised funds will be used to expand the platform’s capabilities by adding advanced parameters such as blood glucose, stress levels, fatigue, and hydration tracking. The company also plans to scale its operations across Singapore and other Southeast Asian markets.

The technology is being evaluated for use across multiple sectors, including healthcare, eldercare, insurance, and workplace safety. Its ability to monitor physiological stress especially in the context of rising climate related heat exposure positions it as a versatile solution for both clinical and non clinical environments.

This development reflects a broader shift in healthcare toward non-invasive, continuous, and AI-driven monitoring, where traditional hardware based diagnostics are increasingly being replaced by software enabled, contactless solutions.

“Health monitoring without touching the patient is becoming reality.”

By

HB Team

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