Vigil-X

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Challenges We Face:
According to data from the World Health Organization (WHO), approximately 684,000 people worldwide lose their lives to fall-related incidents annually, with adults aged 60 and above being the most affected group.
In addition, an estimated 37.3 million falls each year require medical attention, placing a significant financial and emotional burden on global healthcare systems and families.
More critically, failing to address falls in a timely manner significantly increases mortality rates. Studies show that timely intervention within the first critical hour after a fall can save up to 83.3% of lives.

Vigil X
Non-Contact Edge-AI Fall Detection
Vigil X, developed by YUN-X, is an innovative solution that integrates cutting-edge EVS imaging technology and AI intelligent computing. Utilizing Edge AI, all data processing is completed locally, ensuring privacy protection while providing real-time human behavior recognition and fall detection. With superior low-light performance, Vigil X operates reliably even in dimly lit environments, guaranteeing detection accuracy and consistency. Designed for all indoor spaces, Vigil X can be seamlessly deployed in homes, medical facilities, or eldercare centers. In the event of a fall, Vigil X sends instant push notifications, enabling prompt action to mitigate further risks and ensure timely assistance. This is a technologically advanced and practical solution that delivers safety and peace of mind to its users.

APP Instant Push Notifications: Seamless Connectivity for Enhanced Care
When Vigil X detects a fall, it immediately sends an alert to your mobile device, ensuring you're informed no matter where you are. By seamlessly integrating with multiple communication platforms, Vigil X empowers your family to stay connected, take prompt and effective actions, and provide the support you need, exactly when you need it.

MK001 - EVS MTK Evaluation Kit

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Yun-X Demo board integrates MediaTek CPU 4x ARM cortex-A55@1.4GHz, LPDDR4x memory, eMMC storage, power management IC (MT6697) and WIFI/BT solution (MT7663). MediaTek deep-learning accelerator supporting up to 2 TOPS, float point and complete tool chains, compilers, and simulators (NeuralPilot SDK).
Prophesee GenX320 1/5" format 320x320 event-based vision sensor, with 320x320 array of 6.3μm contrast detection pixels, high-speed event data output with row-level 1μs-precision time stamping, and 2.5lux Low light cutoff with high dynamic range >120dB.

DEVICE CAPABILITY

・MediaTek CPU 4x ARM cortex-A55@1.4GHz
・4GB LPDDR4x RAM
・MediaTek PMIC (MT6697)
・MediaTek WIFI (MT7663)
・8GB eMMC
・10/100M Ethernet

BOARD CONNECTIVITY OPTIONS

・HDMI
・Micro SD slot
・MIPI CSI
・Power via DC in
・USB OTG (TypeC USB connector with USB2.0)
・UART Port (debug port for trace log)
・Tripod mount

Module

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