2024 |

MUSE Design Awards Gold Winner

Kaadas Legend Master K70

Entrant

Shenzhen Kaadas Intelligent Technology Co., Ltd

Category

Product Design - Smart Home

Client's Name

-

Country / Region

China

About The Entry

The K70 Pro Max Series meets the rising demand for a smarter and safer home, meticulously designed to provide every household with a convenient, secure, and intelligent defense system.

By harnessing the brand's exclusive K-AI security algorithm frame, it excels in four crucial functions: AI peephole monitoring, AI biological recognition, AI trajectory tracing, and AI dynamic detection. Its advanced low-light full-colour and four-infrared night vision functions work in tandem with a 3K Ultra HD display, delivering crisp images in any lighting scenario. Based on the real-time footage analysis by Tencent Cloud's AI video engine algorithms, it can promptly trigger alarms upon detecting anomalies. For biometric identification, the K70 Pro Max Series integrates AI 3D facial recognition technology with palm vein recognition, achieving unmatched accuracy and enhancing ease of use. Users can opt for a standard mode to detect suspicious loitering or activate an advanced zone guard mode to customize surveillance areas. In this design, flexibility truly meets reassuring home security. Moreover, the K70 Pro Max Series introduces the world's first Shield intelligent security system, further fortified with a 24GHz aviation-grade radar for comprehensive protection and rapid response.

The K70 Pro Max Series is clad in a hue echoing the majestic aura of Mount Kunlun, harmoniously complementing modern home decor. Its aesthetic design makes no compromises on durability, with its construction meticulously crafted from high-strength aerospace-grade aluminum alloy. The user-centric approach shines through in its features: the 2.5D curved glass full-screen is ergonomically designed for optimal user comfort; the 4.7-inch ultra-large screen offers clear views of outdoor environments; and its unlocking system goes beyond typical methods like 3D face recognition, fingerprints, and passwords, innovatively accommodating children's smartwatches to meet diverse family needs.

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