Product Overview:

MV-iCE534 is a dynamic recognition network camera suitable for smart retail visual cabinets. This product integrates an AI recognition algorithm for door opening and closing, which can accurately report the door opening and closing status of each sales container, effectively solving operational problems caused by abnormal door lock opening and closing signals in vending cabinets.

This product adopts a wide-angle lens and a 1080P high-definition sensor, with excellent image effects, optimized encoding and transmission, fast integration of universal protocols, flexible structural design, and high reliability.

For the dynamic recognition scenario of new retail algorithms, the image effect and physical and mechanical characteristics have been greatly optimized, which can meet the demand for dynamic image recognition of goods in unmanned vending cabinets, and enable video AI technology to help the development of new retail.

Key features:

Self developed AI recognition algorithm for door opening status, based on deep learning algorithm of neural network, combined with big dataset and high-precision training, accurately extracts the feature information of vending cabinet door opening and closing, and adapts to recognition in multiple scenarios, complex lighting, different cabinets and other situations;

Patent ISP technology: using self-developed patent ISP image optimization algorithm and 3D noise reduction algorithm, it can quickly adapt to changes in lighting, with high clarity, low noise, and stable image;

Optimization of AI Recognition for Container Sales Scenarios: Targeting the container sales scenario, high-definition sensors and deeply optimized ISP algorithms are used to improve imaging problems such as large differences in foreground and background lighting, product packaging reflections, and stray light during outdoor use. At the same time, targeted optimization is carried out for issues such as product ghosting and rapid changes in door opening and closing lighting;

H. 264 encoding: Supports H.264 image encoding. Under the same image quality conditions, H.264 compression ratio is more than twice that of MPEG-2. At the same time, it has higher image quality, stronger fault tolerance, and better network adaptability.

4G transmission optimization: For the 4G transmission scenario of unmanned shipping containers, the encoding efficiency has been optimized, and the 4G transmission adaptability has been improved;

Adopting a 140 ° full glass lens, it can meet the requirements of full scene coverage and precise recognition required for new retail;

Supports up to 1080P 25fps and uses low light, high signal-to-noise ratio image sensors to meet the image quality requirements of the new retail industry;

Adjusting the underlying video encoding efficiency and optimizing the minimum latency on the camera side can meet the network low latency requirements of new retail scenarios;

Support DHCP to automatically obtain IP addresses;

Support remote upgrade and camera restart (when the camera is paired with the system, OTA function needs to be guaranteed by the system);

A stable version of Linux operating system with deep optimization, running more stably and ensuring data security;

Industry standard structural dimensions for fast embedding and efficient integration of various hardware platforms.