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Throw-Alert Smart Camera is the perfect way to keep an eye on your home or office. It features 1080P HD video, mobile monitoring, HD night vision, and real-time tracing of movements. The reliable 4G networking ensures you always get the best connection, no matter where you are. Keep your home and loved ones safe with Throw-Alert Smart Camera.
Introducing the Throw-Alert Smart Camera, a pioneering solution designed for real-time monitoring and intelligent warning in community scenarios. Equipped with an advanced "human-like algorithm," this front-end embedded camera boasts dynamic recognition and powerful arithmetic, enabling early detection of potential threats like small thrown objects, ensuring swift communication and harm reduction. The camera generates precise trajectory images and videos of detected objects, promoting effective response. Rigorously tested in real environments, the camera guarantees resident safety by preventing light glare into homes. With a single lens for efficient building coverage and flexible networking options, including reliable 4G connectivity, it minimizes installation complexities, making it ideal for seamless deployment and enhanced community security.
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Security Camera with Motion Alert to Phone |
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Specification parameters |
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Sensor: |
2.0 megapixel CMOS 1/2.7" (SC2310) |
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Shutter: |
Auto/Manual, Shutter range: 1~1/100000s |
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Wide Dynamic: |
100dB optical wide dynamic |
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Face recognition speed: |
millisecond recognition |
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Face attributes: |
gender, age group, wearing glasses, etc. |
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Video processing: |
H.265, H.265+, H.264, H.264+, MJPEG video coding;Support code stream 128kb~16384kb adjustable; support frame rate 1~30 fps adjustable; |
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Image output: Main stream: |
1920*1080*30, 1920*1080*25 |
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Sub-stream: |
CIF, 2CIF, D1, 640*360, 720P, 1080P |
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Third stream: |
CIF, 2CIF, 640*360, D1 |
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System architecture : |
8GB EMMC, 8Gb*1 DDR4 |
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Service functions: |
Support motion detection, occlusion detection, OSD configuration, image configuration, intelligent monitoring, face database import and many other services |
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Intelligence: |
16 face databases, all face databases support up to 20,000 faces in total |
Advanced Human-Like Algorithm: Utilizes an embedded "human-like algorithm" camera with dynamic recognition and powerful arithmetic for early detection of small thrown objects, enabling proactive communication and harm reduction.
Accurate Trajectory Imaging: Generates precise images and videos of the trajectory of thrown objects for effective analysis and response, enhancing overall situational awareness.
Tailored Design for Community Use: Specifically designed to fit community scenarios, ensuring seamless integration and practical application within community settings.
Efficient Building Coverage: Utilizes a single camera lens design, effectively covering buildings of all heights, providing comprehensive monitoring without the need for multiple cameras.
Flexible Networking Options: Offers versatile networking options, including reliable 4G connectivity, to minimize wiring requirements and facilitate easy installation using various networking methods.
Resident Home Safety: Rigorously tested to prevent light glare into residents' homes, ensuring that the camera remains unobtrusive and does not disturb the privacy and comfort of the community.
Real-Time Monitoring: Our motion sensor camera which can alert to phone provides continuous, real-time monitoring of the area, detecting and capturing potential threats such as small thrown objects.
Intelligent Warning System: Utilizes an intelligent warning system to alert authorities or relevant personnel promptly upon detecting potential threats or suspicious activities.
Movement Tracing in Real-Time: Enables real-time tracing of movements, facilitating quick and accurate tracking of objects or individuals within the monitored area.
Alarm Pop-Up Preview: Displays alarm pop-ups for immediate visual notification of detected events, ensuring timely response and action.
Retrospective Accountability: Allows for retrospective analysis and accountability by storing images and videos of detected events, aiding in post-incident investigations and reporting.
