Ajax BulletCam HL (8 Mp/2.8 mm), black

BulletCam HL

BulletCam HL is an IP security camera suitable for both indoor and outdoor use, whether in private homes, commercial premises or industrial installations. The camera uses artificial intelligence (AI) for object detection (people, animals, vehicles) and features hybrid illumination: standard IR illumination at night, with automatic switching to white LED light when motion is detected, ensuring reliably detailed images and video both in the dark and in full colour. Recordings are stored either on an internal microSD card (32–256 GB, V30 class or faster recommended) or on a network NVR. The video stream is transmitted over a 100 Mbps Ethernet connection, and the camera supports standards such as ONVIF and RTSP, so it can be integrated into various video management systems (VMS), including servers from other manufacturers. BulletCam HL is built with a rugged housing (metal, IP65 / IK08) that protects it against dust, rain and tampering, making the camera suitable for outdoor use and for open or easily accessible mounting locations.

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Technical specifications

Parameter	BulletCam HL (versions: 5 МП / 8 MP, depending on model)
Sensor type / resolution	5 MP CMOS (2880 × 1620) or 8 MP CMOS 1/2.8 (4K → 3840 × 2160)
Lens focal length	2.8 mm or 4.0 mm (fixed)
Field of view (FOV)	2.8 mm: ~110° horizontal, 4 мм: ~85°–75° depending on model
Video recording format / compression	H.264 and H.265
Frame rate (FPS)	up to 25 fps
Illumination / night vision	IR LED + white LED (hybrid), maximum illumination range up to approx. 50 m, 0.005lx
Object detection / analytics	AI-based object recognition (people, animals, vehicles) + motion detection
Storage	microSD card (32–256 GB, V30 recommended). Alternative: network NVR
Network connection	RJ-45 Ethernet 10/100 Mbps; protocols: HTTP, HTTPS, TCP/IP, IPv4/IPv6, RTSP, ONVIF (Profile S/T)
Audio	Built-in microphone; audio codecs G.711, G.726, G.722, etc.
Housing / protection rating	Metal, IP65 dust- and waterproof + IK08 vandal resistance
Access / integration	Supports ONVIF/RTSP — can be integrated with third-party VMS (e.g. Milestone, Genetec, Axxon, Digifort)

More than just video surveillance

A camera with AI support.
Ajax cameras offer AI-based object detection that enables efficient event recording and archiving. Users can configure recording to suit their needs, from continuous recording to recording triggered by motion or AI-detected events. The settings help capture critical events, such as a vehicle entering a car park or a person moving within a restricted area. This reduces unnecessary footage and makes reviewing recordings easier.
AI processing takes place directly on the camera, so no additional devices or subscriptions are required.
Users and security staff can easily monitor premises via their smartphone and receive instant notifications when motion is detected – no special security training is required.  Your browser does not support the video tag. Customisable video wall on smartphone and PC
Cameras can be managed both on site and remotely using the Ajax mobile and desktop apps or a local video management system (VMS). All visual data is available in a neatly organised virtual video wall. The Video wall tab brings together the latest clips from the cameras, providing a complete overview of the monitored area. Users can rearrange the sections to suit their monitoring needs. Your browser does not support the video tag. Full-colour visibility even in the dark
The hybrid illumination of BulletCam HL cameras automatically switches between infrared and white light based on object detection or motion detection. This ensures high image quality in low-light and night-time conditions. The feature delivers full-colour footage that helps identify clothing, vehicle colour or other important details. The sudden white light can also act as a deterrent, warning intruders that they have been spotted. Your browser does not support the video tag. Datasheet: BulletCam HL all models Manufacturer's website: BulletCam HL all models User manual (EN): BulletCam HL