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Hikvision DS-2CD3T66G2H-LISU(2.8mm)(eF)(O-STD) Kamera IP typu bullet serii Ultra 6 MP, obiektyw stałoogniskowy 2,8 mm, inteligentne podwójne oświetlenie, biała
ADI #:311324049 Model #: DS-2CD3T66G2H-LISU(2.8MM)(EF)(O-STD Nazwa: Hikvision DS-2CD3T66G2H-LISU(2.8mm)(eF)(O-STD) Ultra Series 6MP Bullet IP Camera, 2.8mm Fixed Lens, Smart Dual-Light, White
Supports Hikvision Embedded Open Platform (HEOP) and importing third party applications
Supports 1.5 Tops computing power, 40 MB system memory, 350 MB smart RAM, and 2 GB eMMC storage for sharing resources
High quality imaging with 6MP resolution
Przegląd produktów
Informacje ogólne
Discover the advanced capabilities of the Hikvision Ultra Series 6MP Bullet IP Camera. This high-performance camera features a 2.8mm fixed lens and innovative Smart Dual-Light technology for exceptional clarity in various lighting conditions. With a robust 6MP resolution and 130 dB WDR technology, it ensures superior imaging even against strong backlight. It supports the Hikvision Embedded Open Platform (HEOP), allowing for the integration of third-party applications, enhancing its versatility. Equipped with powerful H.265+ compression, it maximizes storage efficiency. Additionally, it includes a built-in microphone for comprehensive audio security and is engineered to classify humans and vehicles accurately using deep learning. Durable and reliable, it is IP67 certified for resistance to water and dust. Upgrade your security setup with this state-of-the-art camera and experience peace of mind. Shop now to secure your premises!
Główne cechy
Supports Hikvision Embedded Open Platform (HEOP) and importing third party applications
Supports 1.5 Tops computing power, 40 MB system memory, 350 MB smart RAM, and 2 GB eMMC storage for sharing resources
High quality imaging with 6MP resolution
Smart Dual-Light: advanced technology with long range
Clear imaging against strong back light due to 130 dB WDR technology
Efficient H.265+ compression technology
Built-in microphone for real-time audio security
Focus on human and vehicle classification based on deep learning
