Empowering AI Vision with Hailo-15 SoM

Nitritty Labs Empowers Immobile Patients with NeuralCam, Powered by SolidRun’s Hailo-15 SoM 

Background

For patients who are fully immobile, even the simple act of calling for help can be impossible. Nitritty Labs, a pioneering startup based in the Czech Republic, has developed the NeuralCam - an innovative AI-powered camera that enables patients to request assistance simply by blinking their eyes. Built on SolidRun’s Hailo-15 System on Module (SoM), powered by the Hailo-15H AI vision processor, NeuralCam redefines how technology supports care, providing reliability, speed and on-device intelligence where it matters most.

Until now, immobile patients relied on frequent manual check-ins by medical staff, a process that could lead to dangerous delays in emergencies. NeuralCam changes this by detecting intentional eye blinks and transforming them into instant nurse-call signals. This gives patients with paralysis, mobility limitations or speech impairments the ability to ask for help independently, privately and safely. Hospitals, rehabilitation centers and assisted living facilities have already begun adopting NeuralCam, recognizing it not only as a tool that makes caregiving easier, but as a solution that can prevent life-threatening situations.

Applications

At the heart of  NeuralCam lies SolidRun’s Hailo-15 SoM, combined with the Hailo-15 AI processor and Sony IMX678 image sensor. This hardware enables real-time eye detection with ultra-low latency, high accuracy and consistent performance across all lighting conditions, from dim hospital rooms to brightly lit recovery areas. By choosing a compact and powerful SoM approach, Nitritty Labs accelerated their development process, reduced hardware complexity and achieved a faster time to market without compromising reliability, scalability or power efficiency.

Nitritty Labs shared: “We chose the SoM approach because we needed a solution that was compact, reliable and capable of delivering high-performance AI at the edge. SolidRun’s Hailo-15 SoM provided exactly what we were looking for a powerful AI processing, excellent energy efficiency and seamless integration with our product design. We would like to sincerely thank the SolidRun team for their technical guidance and support during the R&D phase. Their responsiveness and expertise made a real difference and helped us bring NeuralCam to life faster and better than we imagined.”

In manufacturing, these devices enable real-time monitoring, machine control, and data collection, supporting production system synchronization, predictive maintenance, and automation initiatives. In smart cities and infrastructure management, they facilitate real-time data processing and analytics for optimized resource allocation and efficient urban planning.

Transportation and logistics benefit from industrial computers with strong networking capabilities by enabling real-time tracking, efficient routing, and intelligent fleet management. These devices ensure reliable communication between vehicles, warehouses, and distribution centers, enhancing operational efficiency and reducing costs.

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Modern healthcare involves large amounts of data with restrictions on compression. Industrial computers with 10G networking enhance patient monitoring, streamline medical imaging processes, and facilitate real-time communication between medical devices. These devices contribute to improved diagnostics, patient care, and data security.

Real-Time AI Vision at the Edge with Hailo-15 SoM

Unlike traditional systems that send data to external servers, NeuralCam processes all video input directly on the SolidRun Hailo-15 SoM. This ensures that no images are transmitted, saved or shared externally, protecting patient privacy and complying with strict medical data protection regulations. The device connects easily to existing nurse-call systems, requires no special training and integrates smoothly into daily medical workflows.”

SolidRun Hailo15 SoM  Nitritty Labs Immobile Patients NeuralCam

SolidRun added: “We would like to extend our sincere gratitude to Nitritty Labs for selecting SolidRun as their SoM provider of the Hailo-15H System on Module. We are honored to be part of Nitritty Labs groundbreaking journey in revolutionizing healthcare technology. Nitritty’s AI-powered camera is a remarkable innovation with a true leap forward in patient care and accessibility.
By giving a voice to individuals who cannot speak or move, you are making a meaningful difference in healthcare systems around the world. At SolidRun, we are proud to support such visionary technology with our high-performance, energy-efficient edge AI modules. Collaborations like this remind us why we do what we do, enabling transformative solutions that serve humanity.”

Clinical Validation and Real-World Testing

NeuralCam has undergone extensive testing in controlled healthcare environments to ensure reliability in real-world clinical conditions. Early deployments have focused on validating system accuracy in detecting intentional eye blinks across a diverse range of patients, including individuals with varying levels of mobility, facial control, and neurological conditions. These tests have been essential in refining the AI model to distinguish between involuntary blinking and deliberate communication signals.

Feedback from healthcare professionals involved in pilot environments has highlighted the system’s potential to reduce response delays and improve patient monitoring efficiency. By integrating seamlessly into existing care workflows, NeuralCam allows staff to respond more effectively without requiring changes to established hospital procedures.

Ease of Deployment and Integration

One of the key advantages of NeuralCam is its ease of deployment within existing healthcare infrastructure. The system is designed to integrate with standard nurse-call systems without requiring major hardware modifications or specialized installation processes. This makes it suitable for both large hospital networks and smaller care facilities.

Because the solution is based on SolidRun’s Hailo-15 SoM, the hardware footprint remains compact, allowing it to be mounted in patient rooms without disrupting the environment. Setup requires minimal configuration, enabling healthcare providers to adopt the system quickly and scale it across multiple departments or facilities with ease.

Accessibility and Patient-Centered Design

NeuralCam was developed with a strong focus on accessibility and inclusivity. The system is designed to function without requiring physical interaction, voice input, or wearable devices, making it suitable for patients with severe motor impairments or speech limitations.

The interface is intentionally simple, ensuring that patients do not require training to use the system. Once installed, NeuralCam operates continuously in the background, providing a passive yet highly responsive communication channel. This patient-centered design ensures that technology adapts to the user’s condition rather than requiring the user to adapt to the technology.

Reliability in Continuous Operation

Healthcare environments demand systems that can operate continuously without interruption. NeuralCam is engineered for 24/7 reliability, with optimized AI models running directly on the edge device to prevent dependency on external networks or cloud services.

This local processing approach reduces potential points of failure and ensures consistent performance even in environments with unstable internet connectivity. The system is also designed to maintain stable performance under varying lighting conditions, patient positions, and room configurations, ensuring dependable operation in everyday clinical use.

Scalability Across Healthcare Systems

NeuralCam is designed not only as a standalone solution but as a scalable platform that can be deployed across entire healthcare networks. Its modular architecture allows institutions to expand usage from a single patient room to multiple wards without significant changes in infrastructure. This scalability makes it suitable for both small clinics and large hospital systems looking to modernize patient communication.

As healthcare providers increasingly adopt digital transformation strategies, systems like NeuralCam demonstrate how edge AI can be integrated gradually without disrupting existing workflows. This incremental adoption approach reduces implementation risk while still delivering immediate improvements in patient care quality.

Reduction of Caregiver Workload

In many healthcare environments, caregivers are required to perform frequent manual checks on immobile patients to ensure their safety and comfort. While essential, these routine checks can consume significant time and limit staff availability for more urgent tasks.

NeuralCam helps reduce this burden by providing a real-time alert system triggered directly by patient intent. Instead of relying solely on scheduled check-ins, caregivers receive immediate notifications when assistance is needed. This allows medical staff to prioritize attention more effectively and reduces unnecessary interruptions while still maintaining high standards of care.

Ethical Considerations in AI Healthcare

The development of NeuralCam also reflects growing attention to ethical considerations in AI-driven healthcare systems. Ensuring patient autonomy, privacy, and dignity is central to its design philosophy. By avoiding invasive monitoring techniques and eliminating the need for external data transmission, the system aligns with ethical best practices in medical technology.

Furthermore, the system is designed to support—not replace—human caregivers. Its purpose is to enhance communication and responsiveness, reinforcing the human-centered nature of healthcare rather than automating it away.

Summary

Nitritty Labs continues to focus on creating advanced electronics and intelligent software for healthcare and precision testing, with one clear mission: to make technology accessible and impactful. NeuralCam is more than a device, it is a promise that no patient will be left unseen or unheard. For caregivers, it brings efficiency and reassurance. For patients, it brings independence, safety, dignity and all with the power of a single blink.

The long-term goal is to build a suite of AI-assisted healthcare tools that extend beyond communication into broader patient monitoring and assistance systems, all while maintaining strict privacy and edge-based processing principles.