Camera IP đo thân nhiệt UNV OET-213H-BTS1

Mô tả

Camera IP đo thân nhiệt UNV OET-213H-BTS1

– Camera IP đo thân nhiệt hỗ trợ phát hiện nhiệt độ cổ tay không tiếp xúc, hỗ trợ cảnh báo những người có thân nhiệt bất thường.

– Phạm vi đo: 30℃ – 45℃.

– Độ chính xác: 0.1℃.

– Biên độ nhiệt độ: ≤0.3℃.

– Khoảng cách đo từ: 1 cm – 3 cm.

– Thời gian nhận dạng nhanh nhất: 0,2 giây.

– Chiều cao nhận dạng khuôn mặt: Từ 0,8m – 2,2m.

– Khoảng cách nhận dạng khuôn mặt: 0,2m – 2,9m.

– Tỷ lệ nhận dạng khuôn mặt chính xác: > 99%.

– Tỷ lệ sai: <1%.

– Dung lượng 10.000 khuôn mặt, danh sách trắng khuôn mặt (1: N).

– Ống kính khẩu độ lớn: F1.6 (Dual lens).

– Độ phân giải camera: 2.0 Megapixel.

– Chống năng chống ngược sáng WDR.

– Màn hình cảm ứng.

– Kích thước: 7 inch.

– Độ phân giải: 600 × 1024.

– Hỗ trợ xác thực khuôn mặt, thẻ và mã QR để kiểm soát cửa mở.

– Bộ nhớ trước 4G EMMC, dung lượng lên đến 8.000 sự kiện (có hình ảnh).

Features

– OET-213H-BTS1 digital detection face recognition access control terminal is a kind of access control device with precise recognition rate, large storage capacity and fast recognition, which integrates UNV face recognition technology and non-contact temperature detection technology. The digital detection module supports rapid body temperature detection. Thus, the product can achieve face recognition and temperature detection at the same time, and support warning people with abnormal body temperature. It can be widely applied in the crowded places, such as smart communities, schools, office buildings, hospitals and other important areas.

– Support non-contact detection of wrist temperature, support warning people with abnormal body temperature. Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection.

– Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value.

– Non-contact wrist temperature detection module, measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.5℃, and measurement distance is between 1cm to 3cm.

– Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate > 99%, false rate < 1%.

– Built-in deep learning dedicated chip, supports local offline recognition, 10,000 face capacity, face whitelist (1∶ N).

– Fastest recognition time 0.2 seconds, various model merge mode are used to reduce false rate and increase pass rate WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes.

– Support anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video

– Support face metering and human metering for fast adapting to ambient light.

– Suggested height for face recognition: between 0.8m and 2.2m, face recognition distance: 0.2m to 2.9m.

– Support screen sleep mode, keep the minimum brightness to prevent glare at night.

– Support add up to 6 photos of the base library for a single person.

– Support video capture, support ONVIF protocol.

– Support face, card, password and QR code authentication to control door open.

– Two-way audio with indoor monitor.

– Built-in 4G EMMC front end storage, stable and reliable, up to 30,000 events capacity (with images).

– Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active.