AI Technology Drives a New Era of Energy-Efficient Displays
Driven by the global energy transition and sustainable development goals, AI-driven energy-saving models are emerging as the frontier of energy efficiency technology for LED displays. With the advantages of intelligent adjustment and high-performance management, AI energy-saving technology is revolutionizing traditional display power consumption management. Compared to conventional energy-saving technologies, this innovation shows groundbreaking changes in real-time monitoring and dynamic optimization. By incorporating "smart power regulation and predictive algorithms," AI can predict and optimize power consumption monitoring in real-time. These models intelligently adjust brightness and power output based on ambient light, display content, and user behaviour patterns, maximizing energy-saving effectiveness. At the same time, this technology addresses the adaptability challenges of traditional energy-saving solutions in complex environments, delivering superior image quality and system stability and offering a dual innovation experience of "energy savings and performance."
Standard Energy Efficiency Model
AOTO's approach to energy-saving technology development goes beyond focusing on a single technical breakthrough. Instead, it aims to enhance overall energy efficiency through a comprehensive optimization of LED display hardware architecture and system design. Traditional LED display energy-saving methods typically rely on improvements in core chip technology and adjustments to power consumption parameters. While these methods can effectively reduce energy consumption in specific scenarios, they often fail to deliver optimal energy-saving performance when faced with complex display content, high brightness, or dynamic image scenes. Additionally, such traditional approaches may compromise display quality and system stability.
AOTO has achieved a comprehensive improvement in the overall energy efficiency of LED displays through advanced process technology and hardware architecture optimization. The enhancement of chip process technology is at the core of display energy efficiency optimization. The more advanced the process, the smaller the transistor size and the shorter the circuit paths within the chip, which significantly reduces the current required for signal transmission and lowers energy consumption. Additionally, smaller transistors and higher integration density allow for more functional modules to be accommodated per unit area, not only boosting the chip's processing capabilities but also enhancing the brightness and colour performance of the display. Compared to the widely adopted 150nm process in the market, AOTO has pioneered the use of 80nm process chips. By leveraging higher transistor density and shorter circuit paths, it has achieved a substantial reduction in power consumption while maintaining the same display quality.
In hardware collaboration, the driver IC is the core module for driving current. An efficient current control mechanism, combined with the characteristics of the 80nm process chip, enables precise current adjustment for each pixel. This collaborative optimization not only reduces energy loss in the circuits but also significantly enhances display synchronization and stability. Additionally, by integrating common cathode drive technology and flip-chip design, the current paths for the red, green, and blue primary colours are independently controlled. This further optimizes voltage distribution, reduces power wastage, and achieves industry-leading overall energy efficiency.
AI Dynamic Energy-Saving Technology
In the field of energy efficiency, combining optimized hardware architecture with traditional dynamic energy-saving technologies can achieve a certain level of energy savings. However, this approach also faces challenges, mainly when there are rapid changes in display content or significant fluctuations in ambient light, which may lead to response delays or accuracy errors. Additionally, adjusting brightness may affect the grayscale levels and contrast of the display, compromising display quality. To address these issues, AOTO has introduced AI Dynamic Energy-Saving Technology.
The AI Dynamic Energy-Saving Mode intelligently adjusts the working state of the power supply and driver IC based on changes in display content. For example, when displaying low-brightness or dark backgrounds, the driving current is automatically reduced, thereby decreasing the power consumption of the LED beads. Some circuits may even enter standby or sleep mode, further reducing power consumption in areas where high brightness is not required.
The driver chip, combined with AOTO's independently developed display control system, enables precise adjustment of the PWM signal duty cycle based on the content being played, achieving more efficient energy management. The system can also dynamically adjust brightness, contrast, and grayscale levels in real-time based on factors such as ambient light, viewing requirements, and display content. For instance, when ambient light is low, the system not only increases screen brightness for better clarity but also fine-tunes contrast and grayscale levels to ensure optimal viewing quality. This technology allows the display to maintain consistent brightness while reducing temperature by up to 50%, achieving a comprehensive energy-saving effect of up to 48%.
Black Screen Technology Synergy with Standby Mode
In addition to dynamic energy-saving technology, AOTO has integrated Standby Technology and Black Screen Energy-Saving Mode into its energy efficiency research and development, incorporating AI intelligent algorithms to achieve high-efficiency energy savings across various display scenarios. This technology utilizes a black screen energy-saving chip to monitor display content in real-time and automatically adjust the power output of display areas based on content changes. When the screen detects no signal input for an extended period, the system intelligently switches to a low-power state, significantly reducing overall power consumption.
The AI algorithm further optimizes this process by adjusting display parameters such as brightness and contrast based on usage patterns and the complexity of the content, enabling precise control of energy consumption. When the display content disappears entirely or the screen turns black, the driver IC automatically adjusts its operating state according to the content, reducing the brightness to zero and lowering power consumption in black areas, effectively stopping all light emissions. Simultaneously, key components such as the power supply, scan card, and processor are switched to standby mode, further minimizing unnecessary energy consumption.
In cases of prolonged inactivity or a black screen state, the system automatically adjusts the power supply's working state, shuts off power output, and enters a deep standby mode, reducing standby power consumption to below 1 watt. Through this AI-driven intelligent adjustment, standby power consumption can be reduced by 70%-80%, and comprehensive energy savings in black screen mode can reach up to 60%. This technology is particularly suitable for devices that operate for long periods, such as billboards and public displays, significantly improving energy utilization efficiency and extending the equipment's lifespan.
With the continuous advancement of AI algorithms and big data analytics, AOTO's energy-saving solutions provide a sustainable technological pathway for the LED display industry. In the future, AOTO will continue to drive the in-depth development of AI energy-saving technologies, exploring more innovative and efficient energy-saving methods to enhance the energy utilization efficiency of displays further. This commitment will contribute to the industry's technological progress and support global energy-saving goals.
