7 Sep 2024 - ADVERTORIAL

Never miss a key moment with Reolink’s Altas PT Ultra continuous recording battery security camera

Reolink, a renowned smart security solution provider, is presenting its Altas PT Ultra at IFA this year, an industry-leading 4K continuous recording battery PT camera designed to address the key pain points of battery security camera users. This new technology breakthrough embodies Reolink’s new brand promise, “Be Prepared, Be Ahead,” further highlighting their new brand identity, which reflects their deep commitment to the security camera sector and ongoing innovation to meet user needs.

These pain points include missing key moments, black and white only night vision, short battery life, and limited field of view. The Altas PT Ultra offers continuous recording in ultra-clear 8MP resolution with vibrant full-colour night vision, while featuring all-round security with pan-tilt rotation, and a robust 20,000mAh battery capacity.

Altas PT Ultra is innovating home security with its 4K ultra-high-definition continuous recording capability. On just a single charge, the camera can deliver 12-hours of continuous recording per day for up to 8 days. The integration of a next-gen SoC allows for continuous pre-record, which caches and writes video clips of 10 seconds before triggering the device’s Passive Infrared Detection (PIR). This offers an innovative way to ensure the whole event is recorded while solving issues caused by PIR-triggered delays.

The Atlas PT Ultra’s 4K colour night vision features a combination of an ultra-large F1.0 aperture lens and an 1/1.8-inch sensor, enabling the camera to capture four times more light than the average Infrared (IR) camera, revealing sharp details even in the dimmest nights without the need for spotlights or IR lights.

The Atlas PT Ultra offers all-around security plus auto-tracking for exceptional control with 355° horizontal and 90° vertical rotation, ensuring no blind spots in surveillance coverage. This all-angle view is complemented by advanced AI-assisted detection algorithms for auto-tracking and smart detection.

Hall 1.2 / Stand 308