Online Web Agency does research and development on intelligent sensing : “robotics, the internet of things, autonomous driving, real-time systems, computer vision, and signal processing".
Online Web Agency has technical product expertise on intelligent sensing: “robotics, the internet of things, autonomous driving, real-time systems, computer vision, and signal processing” ed Online Web Agency has expertise in business process insights to build custom software that is modular on intelligent sensing: “robotics, the internet of things, autonomous driving, real-time systems, computer vision, and signal processing".
Online Web Agency has technical product expertise and experience in business process knowledge to create custom software that is modular on intelligent sensing: “robotics, the internet of things, autonomous driving, real-time systems, computer vision, and signal processing".
Online Web Agency has technical product expertise on intelligent sensing: “robotics, the internet of things, autonomous driving, real-time systems, computer vision, and signal processing” and transfers business culture and above all transfers experience.
History of Intelligent Sensing
The basics (50s-80s)
- First Sensors: Development of basic transducers to measure temperature, pressure, motion, acceleration…
- Industrial automation: Sensors become key to industrial process automation and feedback loops in production control.
- Miniaturization: Microelectronic progress allows the creation of smaller, cheaper sensors that can be integrated into various systems.
Towards Intelligent Sensing (80s - 90s)
- Increase in onboard computers: Microprocessors connected directly to the sensors allow local processing of the data collected, for filtering, compensation and calibration.
- Multisensory Systems: Detection systems are created that aggregate information from various types of sensors (e.g. sonar, radar, artificial vision), fundamental for more complex applications.
- Sensor Networks: Interconnected low-power networks are starting to be used for remote monitoring applications (e.g. environmental, traffic).
Birth of Modern Intelligent Sensing (2000s – Today)
- Internet of Things (IoT): The explosion of IoT makes connected sensor systems that collect vast amounts of data collected.
- Machine Learning: The techniques of machine learning and AI (Artificial Intelligent) applied to data collected collected enable high-level inferences, pattern recognition and predictive analysis.
- Smart Objects: Intelligent sensors, with processing data collected on site, they give rise to a myriad of "smart" objects, environments and buildings capable of reacting to external inputs according to complex rules.
- Wearable Tech and Healthcare: The real-time detection of biological signals with wearable or integrated devices creates opportunities in the medical, sports and fitness fields.
Current trends and challenges
- Advanced Sensory Fusions: Combining data from various types of sensors (vision, LIDAR, audio, etc.) allows intelligent systems to acquire a 360-degree understanding of the world.
- Edge computing: Processing of data collected closer to the sensors minimizes latency and the need to transmit large quantities of data collected rough. Essential for fast-response systems such as self-driving vehicles.
- Privacy and ethics: The ubiquity of collecting data collected from intelligent systems requires standards on privacy and measures to guarantee ethical use that respects individual freedom.
- Energy and Miniaturization: The need for sensors that last for years or are directly powered by the environment opens up innovative technologies for ultra-light and low-power sensors.
Conclusion
The history of Intelligent Sensing is constantly evolving. Progress has been based on increasingly sophisticated sensors, power computing, IoT, analytics data collected. Applications range from autonomous driving, smart cities, industry 4.0, connected healthcare, etc. Taking care of aspects such as privacy and responsible use are key challenges in order to derive only positive effects for society.
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