This solution offers a locally deployed facial recognition system suitable for various settings, including residential areas, factories, enterprises, event check-ins, and crowd analysis. The system consists of three main components: hardware, software, and algorithm models.
Hardware Components of System Solutions
The hardware setup includes facial capture terminals, servers, storage devices, and network switches.
– Facial Capture Terminals: You can choose from common cameras or specialized facial capture devices.
– Servers: Options include high-performance x86 servers or cloud-based ARM cluster servers, ensuring stability and sufficient edge computing power.
– Storage Devices: Depending on your needs, you can opt for dedicated storage servers or integrate storage with computing servers.( How to choose single board computer ram?)
Network switches can utilize existing infrastructure or can be standalone devices depending on security needs. Given that facial data is sensitive personal information, strict measures are essential to protect it. This includes limiting data access, employing encryption, and ensuring data integrity during transmission. Hardware-isolated local networks effectively mitigate data leakage risks.
Software Platform of System Solutions
The software platform comprises an operating system, database, and applications. We recommend using a Linux operating system, with database choices tailored to the organization’s standards. Applications should be developed based on specific needs. We offer foundational applications for facial registration, detection, feature extraction, and comparison. Neardi also provides source code support for software companies or industry clients looking to customize their applications.
Algorithm Models of System Solutions
Facial recognition algorithms are well-established, with open-source options like OpenCV, FaceNet, and DeepFace available. For most applications, these algorithms can handle various comparison analyses, including 1:N and 1:1 matches. Clients can also implement their proprietary models for unique product offerings.
Advantages of Local Deployment
A locally deployed facial recognition system has several benefits compared to cloud services:
– Higher Data Security: Reduces the risk of sensitive data breaches.
– Customization: Flexible deployment tailored to specific needs.
– Offline Functionality: Operates independently of network reliability.
– Efficient Data Transfer: Local networks offer faster data transmission rates and lower operational costs.
This local deployment solution is ideal for organizations prioritizing data security. By implementing this system, clients can leverage facial recognition technology without compromising safety. The comprehensive solution includes hardware, software, and algorithm options, allowing for tailored customization.
If you’re interested in this solution, submit your project requirements, and Neardi will provide a free assessment service.