Model:
Axis 02064-001 Q1615-LE Mk III 1080p Outdoor Network Box Camera, 2.8-8.5mm Lens
SKU:
02064-001
Availability:
In Stock
$1,342.51
  0 reviews
Condition: New Features: Audio, Auto Gain Control, Automatic White Balance, Day/Night, Mirror, Motion Detection Tracking, On Screen Display Menu, ONVIF, Privacy Masking, Vandal Resistant, Weather Resistant, Wide Dynamic Range Brand: Axis NDAA Compliance: No IR Distance: 60m/196ft Protocols: IPv4, IPv6 USGv6, HTTP, HTTP/2, HTTPSa, SSL/TLSa, QoS Layer 3 DiffServ, FTP, CIFS/SMB, SMTP, Bonjour, UPnPTM, SNMPv1/v2c/v3 (MIB-II), DNS, DynDNS, NTP, RTSP, RTP, SFTP, SRTP, TCP, UDP, IGMP, RTCP, ICMP, DHCPv4/v6, ARP, SOCKS, SSH, LLDP, MQTT, Syslog Power Consumption: Max. 25.5 W, typical 13.7 W OSD Menu: English, German, French, Spanish, Italian, Russian, Simplified Chinese, Japanese, Korean, Portuguese, Traditional Chinese Operating Temperature: -40 °C to 60 °C (-40 °F to 140 °F) Operating Humidity: 10–100% RH (condensing) Minimum Scene Illumination: Color- 0.05 lux, B/W- 0.01 lux at 50 IRE, F1.2; Color- 0.1 lux, B/W- 0.02 lux at 50 IRE, F1.2; Color- 0.2 lux, B/W- 0.04 lux at 50 IRE, F1.2 Lens Size: 2.8-8.5mm Camera Signal: Network IP Lens Type: Varifocal Rotation Angle: Auto, 0°, 90°, 180°, 270° Angle of View: Horizontal field of view- 102°–40°, Vertical field of view- 58°–22° Weatherproof: IP66, IP67 Video Output: RJ45 IR Wavelength: 850 nm Infrared Distance: 101 Feet + Resolution: 2 Megapixel (1080p) Voltage: 12vDC, PoE Compression Method: H.264, MPEG-4, M-JPEG, H.265 Connection Type: Wired Image Device: 1/2.8' Progressive scan RGB CMOS Electronic Shutter: 1/125000 to 2 s Dimensions (W x H): 201 x 179 x 494 mm (7.9 x 7.1 x 19.4 in) Durability: Vandal Resistant, Weather Resistant Mount Type: Ceiling, Wall Audio: Yes Motion Detection Tracking: Yes On Screen Display Menu: Yes Privacy Masking: Yes Wide Dynamic Range: Yes Mirror: Yes ONVIF: Yes Auto Gain Control: Yes Day/Night: Yes Automatic White Balance: Yes

Axis 02064-001 Q1615-LE | Auto Gain Control | Day/Night | Motion Detection Tracking | ONVIF | Vandal Resistant | Wide Dynamic Range | Camera Signal: Network IP. Buy Now.

AXIS Q1615-LE Mk III combines exceptional imaging and video performance with outstanding hardware and processing capabilities. With up to 120 fps in HDTV 1080p, it captures excellent detailed images of fast-moving objects and people. This outdoor-ready camera features OptimizedIR for nighttime surveillance as well as remote zoom and focus for costefficient installation and maintenance. Enhanced security features such as signed firmware and secure boot ensure the integrity and authenticity of the firmware. Furthermore, it includes a deep learning processing unit enabling unique opportunities to take advantage of tailor-made third-party applications based on deep learning.

Features

  • -40 °C to 60 °C (-40 °F to 140 °F)
  • Lightfinder 2.0 and Forensic WDR
  • TPM, FIPS 140-2 level 2 certified
  • Embedded deep learning processing unit
  • Support for third-party deep learning applications

Axis 02064-001 Q1615-LE | Auto Gain Control | Day/Night | Motion Detection Tracking | ONVIF | Vandal Resistant | Wide Dynamic Range | Camera Signal: Network IP. Buy Now.

AXIS Q1615-LE Mk III combines exceptional imaging and video performance with outstanding hardware and processing capabilities. With up to 120 fps in HDTV 1080p, it captures excellent detailed images of fast-moving objects and people. This outdoor-ready camera features OptimizedIR for nighttime surveillance as well as remote zoom and focus for costefficient installation and maintenance. Enhanced security features such as signed firmware and secure boot ensure the integrity and authenticity of the firmware. Furthermore, it includes a deep learning processing unit enabling unique opportunities to take advantage of tailor-made third-party applications based on deep learning.

Features

  • -40 °C to 60 °C (-40 °F to 140 °F)
  • Lightfinder 2.0 and Forensic WDR
  • TPM, FIPS 140-2 level 2 certified
  • Embedded deep learning processing unit
  • Support for third-party deep learning applications

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