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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
The Intelligent Vision Sensor is a ground-breaking image sensor that furthermore supports high-speed edge AI computation inside the sensor unit.An artificial intelligence (AI) system is the study of the rational agent and its surroundings. Through sensors and actuators, the agents perceive their surroundings and take appropriate action.
Artificial intelligence (AI) techniques are procedures, rules, and strategies used to build intelligent machines that can reason, learn, and solve problems. AI systems may now carry out activities that would normally need human intellect thanks to these approaches.
In order for the software to learn automatically from patterns or characteristics in the data, artificial intelligence (AI) combines massive volumes of data with quick, iterative processing and sophisticated algorithms.
The Global AI-assisted Video Sensor market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Two new dual channel multi-sensor cameras with sophisticated deep learning-based object identification and classification as well as free video and audio analytics will be released by IP and video surveillance solutions.
Without sacrificing the frame rate for each of its 6 MP sensors, the PNM-C12083RVD AI-enabled dual channel multi-sensor camera delivers 15 fps (frames per second) picture capture and genuine 120 dB WDR.
Motorised vari-focal lenses provide adjustable field of view adjustment in each direction with a focal range of 3.54-6.69 mm. Similar to this, each of the two 2 MP sensors on the new PNM-C7083RVD offers 30 fps with 120 dB WDR. The motorised vari-focal lenses on the camera support focal lengths between 3.0 and 6.0 mm.
Deep-learning algorithms in the new multi-directional AI cameras can accurately distinguish numerous different objects. They significantly increase the accuracy of video analytics by being able to instantly identify and categorise individuals, cars, faces, and licence plates.
False alarms brought on by uninteresting motion, such as wind-blown trees, shadows, or creatures, are greatly diminished.The quality of the images for each channel is also significantly influenced by artificial intelligence (AI).
WiseNR II noise reduction is a new improvement that uses artificial intelligence to detect object movement and lessen blur in busy, low-light settings.
In order to decrease motion blur and produce the clearest shots possible, AI-based Preferred Shutter technology automatically changes the shutter speed depending on recognised objects in motion and the lighting conditions in a scene.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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