• Industry-proven toolchain
  • Comfortable and highly automated user experience
  • Cloud-native implementation
  • Multi-framework support
  • Integrated model training
  • Microsoft Azure IoT Edge compatible

See, learn and understand the content of digital images

OBJECTIVE+ is a versatile tool that can replace almost all optical inspections by reliable computer-aided quality control.

The entire UX was designed for use in an industrial environment by the process supervisor.

The platform solution encompasses a modular and automated end-to-end toolchain and enables a company-wide collaborative setting. It furthermore offers the greatest possible flexibility in the implementation of all use cases in the context of computer vision. OBJECTIVE+ provides a wide range of services for ongoing operational problems like the optimization of quality inspections or the detection of objects.

Model creation explained

Objective+ in use

Advantages and functionalities at a glance


Modular platform

Automated Tool Chain

Compatible with Microsoft Azure IoT Edge Framework

Operation on-premises/in the cloud/hybrid

Future-proof Expandibility of Deep Learning Frameworks

Multi-Framework Support

Quality Improvement


Efficient Processes

Optimized Products

Reduced Costs

Microsoft Azure and Azure IoT Edge

OBJECTIVE+ offers the possibility to provide infrastructure components quickly, thanks to specific Azure Resource Manager (ARM) templates defined for certain application scenarios. These templates are used to deploy predefined PaaS services, e.g. cloudways, storage components, machine learning components, virtual machines (VM) or triggers.The central Azure service of the presented solution is Microsoft Azure IoT Edge.

Microsoft Azure IoT Edge provides an innovative approach to system and network architecture that helps companies to work beyond the limits of traditional cloud-based solutions. The data generated by IoT Edge devices is typically transferred to cloud servers for analysis. The transmission of large amounts of data is a cost factor to be considered and can lead to time delays or latency due to limited bandwidths. Instead of storing and processing data in a cloud or central data centre, cloud workloads are migrated to the edge of the network. Azure IoT Edge provides features such as authentication and communication from local devices. This allows IoT applications to run either offline or without permanently communicating with the cloud.

Application Areas

Quality Control

Completeness Check

Object Detection

Location Detection

Do you want to learn more?

OBJECTIVE+ is distributed by Robotron Datenbank-Software GmbH.