Fermentation 4.0, a case study on computer vision, soft sensor, connectivity, and control applied to the fermentation of a thraustochytrid

Alarcon, Claudio; Shene, Carolina

doi:10.1016/j.compind.2021.103431

Cited by 14 publications

(6 citation statements)

References 48 publications

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“…Computer vision is an emerging discipline, which is to collect video image data through cameras, apply computer vision to identify, track and measure targets in video images instead of human eyes, further do graphics processing, and make computer processing become more suitable for human eyes to observe or transmit images to instruments for detection [1]. The shape, position, speed, size, and other data of objects in video images can be extracted by computer and can be widely used in finance, justice, military, public security, border inspection, government, aerospace, electricity, factories, education, medical, and other industries.…”

Section: Introductionmentioning

confidence: 99%

Analysis of People Flow Image Detection System Based on Computer Vision Sensor

Yang

Wang

2022

Journal of Sensors

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In order to meet the needs of accurately grasping the situation of people in the mall at all times, the author proposes an analysis method based on computer vision for people flow image detection system. This method combines the HOG feature with the SVM classifier, detects pedestrians through dual cameras, and builds an experimental research platform for dual-camera joint detection of pedestrians. The result shows that the error rate of human flow detected by the author’s method is the lowest of 0% and the highest of 6.25%. Conclusion. This method has a good effect on the statistics of the number of people in the shopping mall and can reduce the workload of the monitoring personnel in the shopping mall.

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Section: Introductionmentioning

confidence: 99%

Analysis of People Flow Image Detection System Based on Computer Vision Sensor

Yang

Wang

2022

Journal of Sensors

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“…Much to many people's surprise, there has been little consumer pushback for this GMO containing product. Recently, a new concept (called fermentation 4.0) was introduced that discussed the incorporation of modern digital technologies and other Industry 4.0 elements into fermentation, allowing remote access and control, identifying and communicating the fermentation state to humans and other equipment and machines (Alarcon & Shene, 2021).…”

Section: Precision Fermentationmentioning

confidence: 99%

The fourth industrial revolution in the food industry—part II: Emerging food trends

Hassoun¹,

Bekhit

Jambrak

et al. 2022

Critical Reviews in Food Science and Nutrition

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The food industry has recently been under unprecedented pressure due to major global challenges, such as climate change, exponential increase in world population and urbanization, and the worldwide spread of new diseases and pandemics, such as the COVID-19. The fourth industrial revolution (Industry 4.0) has been gaining momentum since 2015 and has revolutionized the way in which food is produced, transported, stored, perceived, and consumed worldwide, leading to the emergence of new food trends.After reviewing Industry 4.0 technologies (e.g., artificial intelligence, smart sensors, robotics, blockchain, and the Internet of Things) in Part I of this work , this complimentary review will focus on emerging food trends (such as fortified and functional foods, additive manufacturing technologies, cultured meat, precision fermentation, and personalized food) and their connection with Industry 4.0 innovations. Implementation of new food trends has been associated with recent advances in Industry 4.0 technologies, enabling a range of new possibilities. The results show several positive food trends that reflect increased awareness of food chain actors of the food-related health and environmental impacts of food systems. Emergence of other food trends and higher consumer interest and engagement in the transition towards sustainable food development and innovative green strategies are expected in the future.

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“…Industry 4.0 requires computer algorithm based monitoring and cyber-physical system control. If the connections between soft sensors and process system engineering is investigated thoroughly and carefully, then it can be said that with soft sensors, Industry 4.0 can become a reality in bioprocessing with a promising future [131,132].…”

Section: Technique Application Referencementioning

confidence: 99%

Bioprocess Control: Current Progress and Future Perspectives

Rathore

Mishra

Nikita

et al. 2021

Life

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Typical bioprocess comprises of different unit operations wherein a near optimal environment is required for cells to grow, divide, and synthesize the desired product. However, bioprocess control caters to unique challenges that arise due to non-linearity, variability, and complexity of biotech processes. This article presents a review of modern control strategies employed in bioprocessing. Conventional control strategies (open loop, closed loop) along with modern control schemes such as fuzzy logic, model predictive control, adaptive control and neural network-based control are illustrated, and their effectiveness is highlighted. Furthermore, it is elucidated that bioprocess control is more than just automation, and includes aspects such as system architecture, software applications, hardware, and interfaces, all of which are optimized and compiled as per demand. This needs to be accomplished while keeping process requirement, production cost, market value of product, regulatory constraints, and data acquisition requirements in our purview. This article aims to offer an overview of the current best practices in bioprocess control, monitoring, and automation.

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Fermentation 4.0, a case study on computer vision, soft sensor, connectivity, and control applied to the fermentation of a thraustochytrid

Cited by 14 publications

References 48 publications

Analysis of People Flow Image Detection System Based on Computer Vision Sensor

Analysis of People Flow Image Detection System Based on Computer Vision Sensor

The fourth industrial revolution in the food industry—part II: Emerging food trends

Bioprocess Control: Current Progress and Future Perspectives

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