Mitsubishi ElectricLSE:MEL Stock Report

Mitsubishi Electric Develops Smallest Antenna Prototype for High-Precision Satellite-Based Positioning in Four Frequency Bands

Mitsubishi Electric Corporation announced that it has developed a prototype of the world's smallest antenna for high-precision satellite-based positioning in four frequency bands used by the world's main satellite-positioning systems and positioning-augmentation services. The highly compact antenna, which is expected to be installed in diverse vehicles and even drones, will accelerate high-precision satellite-based positioning for autonomous driving and many other applications. Features: Proprietary technology achieves world’s smallest 4-band antenna for diverse vehicles: The antenna’s two folded linear elements are wired three dimensionally and symmetrically on each of four molded-resin layers, which are perpendicular to the module’s horizontal surface. This unique design has resulted in the world’s smallest four-band antenna for the high-precision satellite-based positioning of diverse autonomous vehicles, including drones and small tractors as well as automobiles.

Now 20% undervalued

The stock has been flat over the last 90 days. The fair value is estimated to be JP¥1,932, however is not to be taken as a buy recommendation but rather should be used as a guide only. Revenue has declined by 2.6% per annum over the last 3 years. Earnings per share has declined by 3.6% per annum over the last 3 years.

Mitsubishi Electric Unveils New Advanced Driver Assistance System

Mitsubishi Electric’s New Technology Clarifies AI Control Rationale

Mitsubishi Electric Corporation announced that together with RIKEN (The Institute of Physical and Chemical Research) it has developed an AI technology that clarifies the rationale underpinning each AI-based control system to enable such systems to be deployed in infrastructure and various equipment with confidence. Mitsubishi Electric will provide the new technology in its Maisart lineup. Features of Development: Step-by-step use of new AI realizes explicit control rationale: By estimating the characteristics of the equipment’s operating environment, the new AI quickly identifies and quantifies physical parameters using simulation rather than taking measurements with numerous sensors. Past working data can be used to learn equipment sensor values and physical quantities in order to predict future changes in the operating environment. Using predicted values and specified parameters, the simulation accurately predicts changes in the operating environment and then creates an optimal control plan in the scheduler. By visualizing predicted values, work environment changes and a control plan, the new AI clarifies the control rationale to eliminate black boxes. By increasing the confidence level for equipment control and operational confirmation, the new AI technology will to enable AI-equipped infrastructure, air-conditioning equipment, etc., to be used confidently and allow managers to clarify the basis of their AI control, such as when responding to complaints.

Mitsubishi Electric and National Institute of Advanced Industrial Science and Technology Develops AI Technology for Real-Time Control of Fa Equipment

Mitsubishi Electric Corporation and the National Institute of Advanced Industrial Science and Technology (AIST) announced that they have developed an AI technology that predicts changes during automated manufacturing processes and then makes real-time adjustments in the factory-automation (FA) equipment, such as motion speeds, etc., during operation. In addition to eliminating the need for time-consuming manual adjustments, the AI estimates the confidence level of inferences regarding factors such as machining error and then controls the FA equipment based on suitable levels of confidence. The technology is expected to lead to more stable, reliable and productive operations, particularly in agile manufacturing. Key Features: Fast: AI achieves high-speed inferences for dynamic control of FA equipment control: In factories that use FA equipment for agile manufacturing, such as computerized numerical controller (CNC) cutting machines and industrial robots, the movements, operating speeds, acceleration, etc. of the equipment vary during the operating processes. In conventional manufacturing, skilled workers must adjust the operating parameters according to various specifications, such as the required level of accuracy. Mitsubishi Electric has now developed an AI technology that simultaneously performs high-speed inferences and equipment control for real-time FA operation. Incorporating Mitsubishi Electric’s expertise as an FA equipment manufacturer, the new low-load AI control technology performs inferences while simultaneously controlling FA equipment. Although the technology minimizes its processing load, it is capable of achieving high-level inference accuracy while simultaneously guiding FA equipment control.