Traditional monitoring systems often face a myriad of challenges: excessive usage of white light to capture colour images, ubiquitous background noise, complicated alarm accessories and lack of integration with third-party alarm systems, just to name a few.
In response to these issues, Dahua Technology has launched its upgraded Three-in-One Camera series – the TiOC 2.0. Aside from its active deterrence function, it is also equipped with smart dual illuminators, VoiceCatcher technology and other intelligent features that can help ease your monitoring operation and customise your alarm system based on your needs.
The upgraded TiOC 2.0 features Smart Dual Illumination technology which can flexibly switch between IR mode and white light mode. The smart illumination mode adopts deep learning algorithms to detect a target, when the Smart Illumination Mode (default mode) is enabled, the supplementary white light will only turn on when a target has been detected in the monitored area (PTZ camera tracks the target).
The active alarm will be triggered as well (siren, blue and red light) if the target enters the rule area. When the target leaves the monitored area, the supplementary white light will turn off (PTZ camera goes back to pre-set) and the IR illuminator will turn back on, which can significantly help reduce light pollution during the night. Together with other modes including IR mode and white light mode, the smart dual illumination technology can meet various scene requirements of customers.
The Dahua VoiceCatcher technology adopts a high-sensitivity dual mic array – a newly designed audio acquisition circuit that can intercept external circuit interference. With Dahua’s self-developed noise reduction algorithm and high-performance SOC, this feature significantly increases the camera’s audio pick-up distance by 7 metres compared with the previous generation of TiOC (based on a standard laboratory environment).
In addition, the VoiceCatcher technology can also reduce noise and extract audible audio signals, which greatly enhance the TiOC 2.0 cameras in terms of sound quality. These dual mic cameras provide clear sound, high wind noise reduction rate and low environmental background noise, whereas a typical single mic produces a slightly distorted sound. Combined with built-in speaker, a dual mic array greatly enhances the device’s two-way-talk function, providing clearer and more audible sounds.
New low-light image experience
Powered by OPC (optical path compensation) technology, the TiOC 2.0 cameras can correct the angle of refraction of different light rays, allowing Dahua IPCs to output brighter and clearer black and white images with an F1.0 large aperture lens.
The F1.0 aperture lens of TiOC 2.0 cameras increases the light input by 1.96 times and 2.56 times compared with F1.4 and F1.6 respectively. This enables a smooth visual experience with high brightness and real-time 4K resolution at 25/30 fps even when AI is enabled.
Aside from the DMSS app, the TiOC 2.0 camera series also works with web/NVR software. It allows configuration of alarm-in ports directly on the webpage interface, providing alarm receiving or one-tap arming/disarming function that can control both siren and warning lights with just a click of a button through the alarm system interface. It features 11 built-in alarm sounds and supports importing of custom voice audios that can be used as a welcome message in stores and as a deterrent in restricted areas.
This upgraded series also adopts AI algorithm instead of conventional PIR sensors to improve its event detection accuracy. It boasts an array of AI functions, including SMD 3.0, perimeter protection, making it suitable to various application scenarios including public.
Equipped with deep learning algorithm, it also offers Auto Tracking 3.0, a technology of PTZ cameras that uses the characteristics of the PTZ camera to rotate (horizontally and vertically) and zoom in/out to track targets. Once a target triggers the IVS rule, the camera zooms in and tracks the defined target in motion within the scene.
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