Achu Technologies has released AQ Cloud-ES for the first time to solve the inefficiency problem in batch deployment scenarios

2022-04-21 14:33 0

/ Asahi/Guangzhou, April 21, 2022 -- Achu Technology, a service provider of industrial AI vision platform, recently launched its new product AQ Cloud-ES 1.0.

Achu Quality Inspection Cloud -- AQ Cloud series is a private cloud product series of intelligent visual quality inspection for mass production lines. With the help of deep learning technology and cloud technology, it provides AI model acquisition, centralized computing power management, data cloud storage, equipment cloud management, quality data management and other capabilities.

Since its establishment in 2017, Achu Technology has been committed to building a leading industrial AI vision platform, and focusing on solving complex industrial inspection problems (industrial AI vision) and intelligent analysis services. AIDI, the industrial AI vision platform independently developed by Achu Technology, is an industrial vision AI platform based on deep learning. It can enable a variety of industrial application scenarios and effectively solve the problems of positioning and recognition, classification and grading of complex defects and character recognition, with strong compatibility. AIDI has a variety of built-in application modules without programming to help users quickly build and iterate models, meet differentiated requirements in different business scenarios, and facilitate intelligent industrial upgrading.

It is reported that the AQ Cloud-ES released by Achu Technology is a private deployment of edge side AI server system. Highly coordinated with its AIDI software platform, it provides cloud training of AIDI engineering, data cloud storage and centralized management capabilities of equipment, personnel and data for batch deployment scenarios, and solves the problem of multi-person and multi-device collaboration when AI is implemented.

  AQ Cloud-ES 1.0 features

Achu Technology builds the private cloud system for the first time, aiming at the efficiency problems of AIDI batch scenario: computing power, engineering management, and personnel.

1. Efficiently solve the problem of training computing power allocation to achieve the effect of training resource centralization, multi-equipment sharing and automatic optimal resource allocation.

2. Easily solve project management problems and achieve convenient project management through centralized data storage, project version management, operation log and other functions.

3. Reduce data problems caused by personnel errors, and ensure data security through user management, permission management, data backup and retrieval functions.

  AQ Cloud-ES 1.0 product function demonstration

1. Cloud training function

Application scenario: Local computing resources are insufficient. Many model developers and inefficient allocation of computing power

Data synchronization: local AIDI project upload; Cloud AIDI project download

Cloud training: support users to use cloud training resources locally; Support training progress brief view

2. Computing power management function

Application scenario: Multi-party cloud computing power sharing; Cloud resource shortage

Resource scheduling: automatic optimal allocation of computing resources in multi-tasking; Support automatic queuing

Task Kanban: Support resource occupation view; You can view the task status and progress

3. Data management function

Application scenario: frequent iterations and multiple versions; Multi-person collaboration

Data conflict management: Support for project locking

Supports project data viewing and remarks editing

Version management: Supports historical version viewing and version switching

4. User management function

Application scenario: Multi-party collaboration, with role differences; There are multiple levels of data secrecy

User account management: account password, single sign-on; Adding or subtracting users (administrators)

User rights management: support group management (administrator); Support project permission Settings, can share projects

5. Model deployment

Application scenario: The production line has many machines, and the model copy is easy to error; Model copy is not convenient

Model download: Support users in any device login account, find the project, download the model

At present, Achu Technology has launched the intelligent industrial vision platform AIDI and the cloud AI platform AQ Cloud, embedded AI series EVS and vertical industry AI solutions have been widely used in consumer electronics, automotive, new energy, medicine, circuit semiconductor, logistics and other industry scenarios. At present, hundreds of factories have been deployed online, including dozens of benchmark enterprises in advanced manufacturing.

Source: Corporate press release
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