Image Sensor For Security Application Market Size and Share
Image Sensor For Security Application Market Analysis by Mordor Intelligence
The image sensor for security application market is valued at USD 3.44 billion in 2025 and is projected to reach USD 5.29 billion by 2030, translating into an 8.97% CAGR across the period. Growth rests on three pillars: sovereign-AI mandates that push analytics to the edge, rising regulatory pressure for real-time threat detection at borders and critical infrastructure, and a broad shift from passive recording to predictive analytics in commercial and residential settings. Procurement cycles in defense are intensifying, and commercial integrators are standardizing on stacked CMOS designs that fold neural accelerators directly onto the sensor die, trimming latency and network load. Supply constraints related to 300 mm wafers remain a headwind, but new capacity announcements by leading foundries signal potential medium-term relief. Finally, privacy legislation serves as both a brake and a catalyst, forcing edge-only processing while simultaneously nudging buyers to upgrade from legacy analog cameras.
Key Report Takeaways
- By application, commercial surveillance cameras led the image sensor for security application market with a 46.56% share in 2024; defense and border surveillance cameras are projected to advance at a 11.20% CAGR through 2030.
- By technology, CMOS commanded 92.29% share of the image sensor for security application market size in 2024, while emerging technologies including InGaAs and SWIR variants are forecast to expand at 9.61% CAGR to 2030.
- By spectrum, visible-range sensors held a 71.91% share of the image sensor for security application market size in 2024; multispectral and hyperspectral sensors are projected to grow at a 11.44% CAGR through 2030.
- By processing type, 2D devices captured 68.73% of the image sensor for security application market share in 2024; neuromorphic event-based sensors are projected to climb at a 9.99% CAGR over the same horizon.
- By end-use sector, commercial and industrial deployments represented 44.52% of the image sensor for security application market size in 2024, while defense and military demand is projected to rise at a 11.63% CAGR to 2030.
- By geography, the Asia Pacific held 42.47% of the image sensor for security application market share in 2024; the Middle East is on track for the fastest growth at a 10.90% CAGR through 2030.
Global Image Sensor For Security Application Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Growing Demand from Smart Cities | +2.1% | Asia Pacific core, Middle East expansion, spillover into Latin America | Medium term (2-4 years) |
| Integration of AI-Powered Video Analytics at the Edge | +1.8% | Global, early adoption in North America and Europe | Short term (≤2 years) |
| Proliferation of IoT-Enabled Home Security Cameras | +1.4% | North America and Europe residential, emerging Asia Pacific urban | Medium term (2-4 years) |
| Regulatory Mandates for Public Safety Camera Installations | +1.3% | Europe, Middle East, India, select U.S. municipalities | Long term (≥4 years) |
| Adoption of Event-Based Neuromorphic Image Sensors | +0.9% | Global, niche defense and remote-infrastructure | Long term (≥4 years) |
| Growth of SWIR and Multispectral Sensors | +1.2% | Defense-focused, North America, Middle East, Asia Pacific | Medium term (2-4 years) |
| Source: Mordor Intelligence | |||
Growing Demand From Smart Cities
Smart-city programs in Riyadh, Dubai, Shenzhen, and Hyderabad each deploy camera densities exceeding 1,000 nodes per square kilometer, creating a throughput burden that only sensors with on-chip inference and embedded DRAM can manage effectively.[1]Saudi Arabia NEOM Project, “Smart Infrastructure and Technology Overview,” NEOM.COM Saudi Arabia’s NEOM project alone awarded contracts in 2024 for 50 000 AI-ready cameras capable of real-time crowd-flow analysis across 26 500 km². These rollouts prioritize stacked CMOS architectures because DRAM layers buffer 4K streams at 60 fps without off-sensor memory, slashing backhaul bandwidth by 70%. India’s Smart Cities Mission has budgeted INR 480 billion (USD 5.8 billion) through 2024, and procurement guidelines earmark up to 22% of project spending for sensors, thereby establishing a vast addressable base. In all markets, data-sovereignty rules drive architects toward encrypted on-die storage, ensuring that biometric footage never crosses borders.
Integration of AI-Powered Video Analytics at the Edge
Moving inference from the cloud to the camera reduces detection latency from 800 ms to under 50 ms, which is vital for perimeters where intruders can cross critical distances in seconds.[2]Sony Semiconductor Solutions, “IMX500 Intelligent Vision Sensor Product Brief,” SONY-SEMICON.COM Sony’s IMX500 sensor showcases the model, executing MobileNet and EfficientNet at 12 fps on less than 1 W and enabling battery-powered units to run 18 months on a single charge. The design shift realigns market power: sensor vendors now partner with AI software firms to deliver turnkey stacks, and camera OEMs differentiate on model libraries rather than megapixels. Compliance frameworks such as the European Union AI Act require embedded inference metadata logs and secure over-air firmware, which further cements value in the silicon rather than the server.
Proliferation of IoT-Enabled Home Security Cameras
Residential shipments accounted for 28% of global units in 2024, driven by subscription bundles from Ring, ADT, and other providers that bundle hardware with AI alerts and cloud storage. Ring alone shipped more than 3 million doorbells in H1 2024, each integrating a 5-MP CMOS sensor whose on-device motion filtering cuts false positives by 40%. Privacy statutes, led by California’s Consumer Privacy Act, push developers to create edge-only modes that avoid cloud upload, favoring sensors with 32 GB to 64 GB embedded flash. Lower cloud fees and fewer legal liabilities offset the incremental BOM cost of USD 8 to USD 12.
Regulatory Mandates for Public Safety Camera Installations
European directives mandate public-safety cameras on transportation corridors and high-footfall venues, and cities such as Milan and Barcelona now earmark capital budgets specifically for AI-ready devices that can anonymize data on-sensor. Local ordinances in Dubai and Riyadh likewise require every new commercial building to integrate cameras capable of face mask detection, driving volume orders for mid-tier 4-MP CMOS sensors. Municipalities in the United States increasingly align with Chicago’s model, where police networks integrate license-plate recognition at 400 intersections; these programs propel steady demand even when commercial spending pauses. Long planning horizons of four years or more make the related funding predictable despite cyclical dips in other verticals.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| High Manufacturing Costs of Large-Chip Image Sensors | -0.8% | Global, acute in high-resolution defense and infrastructure | Medium term (2-4 years) |
| Increasing Concerns over Data Privacy and Surveillance Regulations | -1.1% | Europe, North America, emerging Asia Pacific | Short term (≤2 years) |
| Shortage of 300 mm Wafer Capacity for Stacked CMOS Sensors | -0.6% | Global supply-chain bottleneck | Short term (≤2 years) |
| Vulnerabilities in Sensor Firmware Leading to Cybersecurity Risks | -0.4% | Global, reputational and liability for integrators | Medium term (2-4 years) |
| Source: Mordor Intelligence | |||
High Manufacturing Costs of Large-Chip Image Sensors
Die sizes beyond 12 mm by 12 mm often see yields under 60% on 300 mm wafers, pushing unit costs above USD 40 and making price-sensitive deployments infeasible. Stacked architectures add USD 8 to USD 15 in packaging, so the return on investment becomes defensible only when edge AI or ultra-high frame rates are mandatory. Sony and Tower command most of the stacked capacity, and both prioritize higher-margin handset and automotive customers, leaving security buyers in a queue that stretches past 26 weeks in peak quarters. Integrators, therefore, revisit smaller die options or even CCD designs for niche low-light needs, demonstrating how manufacturing economics ripple through solution design.
Increasing Concerns Over Data Privacy and Surveillance Regulations
The European Union’s GDPR empowers regulators to levy fines of up to EUR 20 million (USD 22.6 million) or 4% of annual revenue for each violation. In 2024, Italy fined two municipalities for facial-recognition pilots that lacked DPIA filings.[3]European Union, “GDPR Enforcement Tracker,” ENFORCEMENTTRACKER.COM California’s Delete Act introduced a 45-day deletion mandate, compelling cloud analytics firms to revise their data retention policies. These pressures accelerate demand for sensors with hardware-level anonymization and mechanical privacy shutters, such as Sony’s lens-block feature. Budget allocations now include USD 50 000 to USD 200 000 per deployment to cover legal reviews and audit trails, squeezing smaller city councils out of advanced analytic upgrades.
Segment Analysis
By Application: Defense Spending Reshapes Demand Mix
Defense and border surveillance orders, while smaller in unit volume, add premium value to the image sensor for security application market because procurement favors thermal and SWIR models with pricing multiples of three to five times commercial CMOS. The segment is forecast to post an 11.63% CAGR, the fastest among all application verticals, reflecting heightened tensions in Eastern Europe, the South China Sea, and the Middle East. Commercial surveillance, which owned 46.56% of the image sensor for security application market share in 2024, continues to dominate shopping malls, logistics hubs, and corporate campuses but is maturing in North America and Europe as saturation nears. Home security grew briskly in 2024, supported by subscription economics that subsidize hardware and add recurring revenue streams, and it remains a vital feeder for new edge-AI features. Infrastructure and traffic monitoring represents a balanced, medium-growth pocket: intelligent transportation systems in Singapore, Tokyo, and Dubai now require 4-MP resolution with wide dynamic range to register plates in glare and at night.
The defense sub-segment’s performance also reflects technology cross-pollination: uncooled microbolometer arrays and InGaAs focal-plane devices trickling from aerospace into ground-based applications. Contracts from the U.S. Department of Defense worth USD 340 million in 2024 channel demand toward domestically fabricated sensors, locking in secure supply chains. Commercial buyers, by contrast, lean on image sensors with embedded neural accelerators that lower false alarms by as much as 80%, saving significant labor in monitoring centers. These architectures increase the average selling price but reduce the total cost of ownership. The emerging migration pattern is clear: advanced capabilities debut in defense, cascade into critical infrastructure, and finally arrive in residential devices as cost curves bend.
Note: Segment shares of all individual segments available upon report purchase
By Technology: CMOS Dominance Masks Niche Disruption
CMOS captured an overwhelming 92.29% of the image sensor for security application market size in 2024 and still records healthy unit growth because silicon scaling keeps reducing cost per pixel. Yet the same strength hides cracks. InGaAs shortwave infrared devices, though accounting for a single-digit share, are expanding at 9.61% CAGR as border agencies specify covert night-vision options. CCD, once the incumbent, declined 12% in shipments during 2024 but refuses to exit entirely; its superior quantum efficiency underpins persistent demand from scientific surveillance where quantum-limited detection is essential. Quantum-dot overlays on CMOS wafers debut as an economic challenger to InGaAs, offering 40% to 60% lower unit cost albeit at reduced sensitivity.
Teledyne ramped InGaAs capacity by 30% in 2024 after acquiring a Tower Semiconductor 300 mm line, signaling confidence in defense requirements. Meanwhile, stacked CMOS continues to attract R&D efforts because its logic-pixel separation enables both high resolution and integrated AI. The persistent wafer shortage pushes many mid-tier integrators back toward 200 mm flows, balancing cost, availability, and performance. As foundries bring 300 mm lines online for CMOS image sensors in 2026, the trade-off gap may close, but until then niche disruptions hold strategic relevance. The net result is that while CMOS remains dominant, buyer diversification into specialty technologies will raise the competitive stakes for incumbents.
By Spectrum: Multispectral Gains Reflect Threat Complexity
Visible-range devices still supplied 71.91% of overall revenue in 2024, largely because retail, residential, and city-center installs prioritize color fidelity and compatibility with legacy analytics. Infrared add-ons, including near-infrared LED arrays, bridge nighttime gaps but risk revealing sensor locations to adversaries equipped with night-vision goggles. Multispectral and hyperspectral products, though nascent, boast an 11.44% forecast CAGR because border forces and petrochemical operators require chemical-signature detection at stand-off distances. Thermal cameras based on uncooled microbolometers thrive in perimeter scenarios where smoke, fog, or foliage blinds visible optics, even though resolutions remain modest at 640 by 480 pixels.
Prototype hyperspectral rigs from FLIR and Specim fell below 2 kg and 15 W in 2024, making them deployable on vehicles and towers rather than only aircraft. Export rules tighten on such gear: U.S. ITAR classifications restrict the distribution of devices offering sub-10 nm band resolution, locking global buyers into defined supply chains and favoring local overhaul centers. Data volumes often exceeding a gigabit per second complicate edge processing, but as chiplets embed spectral unmixing algorithms directly under the pixel plane, these systems will migrate beyond airports into industrial security applications. Overall, the image sensor for security application market recognizes that no single spectral range satisfies all threat vectors, and multi-band fusion will gradually permeate standard bids.
Note: Segment shares of all individual segments available upon report purchase
By Processing Type: Neuromorphic Sensors Target Power-Constrained Niches
2D frame-based products accounted for 68.73% of revenue in 2024 and remain the default choice because most video-management software expects standard video streams. Neuromorphic event-based designs, however, are growing at 9.99% CAGR on the back of applications requiring latency under 1 ms and sub-100 mW power budgets, such as solar-powered fences and micro-UAV payloads. Time-of-flight 3D sensors gain traction in access-control terminals where liveness detection stops spoof attacks, though they incur a USD 25 to USD 50 premium over 2D parts. AI-enabled on-chip sensors shipped more than 2 million units in 2024, hinting at an inflection toward inference at the pixel plane.
Prophesee’s Metavision Gen4 hit 1-MP resolution with 10-µs latency and under 50 mW consumption, illustrating the performance leap event-based architectures offer. Integration barriers linger, including limited codec support and scarce expertise in spiking neural networks, which keeps the adoption niche. Time-of-flight modules embed secure illumination at 850 nm for facial geometry mapping, but visibility of the emitter to smartphones raises privacy flags in public spaces. OEMs hedge by designing hybrid boards that accept both frame-based and event-based dies, future-proofing products until standards stabilize. As algorithms converge and toolchains mature, processing-type diversity will redefine upgrade paths for integrators.
Note: Segment shares of all individual segments available upon report purchase
By End-Use Sector: Military Budgets Drive Premium Segments
Defense and military programs are on course for an 11.63% CAGR, the highest among all end-uses, driven by procurement for thermal, hyperspectral, and SWIR arrays capable of target recognition through smoke, haze, and electronic countermeasures. Commercial and industrial settings, which accounted for 44.52% of 2024 revenue, face flatter trajectories because many retail sites have already deployed multi-camera meshes. Residential systems are growing steadily as subscription business models offset capital expenses for homeowners. Critical-infrastructure operators such as power grids, airports, and pipelines maintain mid-single-digit growth, sustained by regulatory mandates for 30-day video retention and automatic incident alerts.
Defense buyers demand radiation-hardened, encrypted sensors meeting NSA Type-1 criteria, which pushes ASPs far above commercial rates. The U.S. Army’s Integrated Visual Augmentation System awarded USD 220 million of contracts in 2024, stipulating sub-2 W power draw and unmatched low-light acuity. Commercial verticals gravitate toward metadata extraction rather than raw video storage, trimming legal exposure under GDPR and CCPA. Integrators now expect sensors to output object counts, dwell time, and queue length, not just frames, reshaping firmware roadmaps. Across all sectors, the image sensor for security application market continues to polarize: premium military and analytics-heavy commercial tiers thrive, while mid-spec devices face price compression from low-cost Chinese fabless entrants.
Geography Analysis
Asia Pacific dominated with 42.47% share of the image sensor for security application market in 2024, underpinned by China’s vast social-credit camera network that topped 700 million units and India’s Safe City Mission funding of INR 480 billion (USD 5.8 billion). Domestic suppliers such as GalaxyCore and SmartSens leverage cost advantages, pricing 5-MP sensors at USD 6 to USD 8 and taking share from incumbents. Japan and South Korea focus on AI-enhanced elder-care deployments: Tokyo’s 2024 tender for 15,000 fall-detection cameras sets a template for super-aging societies.
The Middle East clocks the fastest growth at 10.90% CAGR, propelled by mega-projects like Saudi Arabia’s NEOM and Dubai’s Smart City scheme, both mandating AI analytics and on-die encryption to observe strict data-localization rules. Israel and Turkey expand defense purchases for thermal and SWIR kits aimed at border surveillance, while Gulf Cooperation Council states issue tenders linking camera density to facility risk ratings. The climate—characterized by dust, heat, and low-contrast night scenes — favors stacked CMOS and InGaAs options, adding premium value to regional orders.
North America and Europe jointly represented 38% of 2024 revenue but show slower gains because privacy litigation lengthens procurement cycles. The U.S. lacks a federal privacy law, yet California’s Delete Act and Illinois' BIPA raise compliance costs per site by USD 50,000 to USD 200,000. European buyers now lean toward edge-only deployments to skirt GDPR penalties, suspending centralized facial recognition in multiple cities. That said, defense and critical-infrastructure projects remain vibrant: the U.S. Department of Homeland Security awarded USD 420 million for border systems in 2024, and the EU’s NIS2 directive underpins airport analytics spending.
Competitive Landscape
Sony Semiconductor Solutions, Samsung Electronics, OmniVision Technologies, ON Semiconductor, and STMicroelectronics collectively own roughly 60% of sector revenue, illustrating moderate concentration. Chinese fabless challengers GalaxyCore, SmartSens Technology, and Superpix Micro Technology are eroding price points in the mainstream 5-MP CMOS market by offering discounts of 25% to 35%, expanding their share in Latin America and Southeast Asia. Competitive strategy has shifted to integrating AI accelerators and image signal processors onto the pixel die so that real-time object classification happens at the source, enabling compliance with data-localization statutes.
Sony’s IMX500 exemplifies the pivot, running MobileNet and EfficientNet at 12 fps on under 1 W and reframing the marketing narrative from pixel count to algorithm throughput. Samsung and SK hynix have deepened their commitment to event-based architectures through a KRW 180 billion (USD 135 million) joint venture, targeting 2-MP neuromorphic sensors by 2027. Teledyne’s acquisition of Tower’s 300 mm line widens the shortwave infrared moat and signals vertical expansion into substrate control.
White-space lies in shortwave infrared and neuromorphic domains where price premiums or power advantages offer room for new entrants. Prophesee closed EUR 50 million in Series C funding to scale its Metavision Gen4 platform, while Gpixel shipped 1.2 million specialty sensors for industrial automation. Standards bodies such as IEEE draft secure-boot specifications that could raise compliance costs, inadvertently favoring large incumbents that already maintain security-certification teams. As pricing pressure collides with feature innovation, the image sensor for security application market is likely to polarize between low-cost commodity suppliers and premium, AI-centric solution vendors.
Image Sensor For Security Application Industry Leaders
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Sony Semiconductor Solutions Corporation
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Samsung Electronics Co., Ltd.
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OmniVision Technologies, Inc.
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ON Semiconductor Corporation
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STMicroelectronics N.V.
- *Disclaimer: Major Players sorted in no particular order
Recent Industry Developments
- October 2025: Sony Semiconductor Solutions released the IMX610 stacked CMOS sensor with an embedded edge-AI engine capable of running ResNet50 at 20 fps while consuming just 0.9 W, enabling real-time analytics in smart-city cameras.
- July 2025: STMicroelectronics brought a new 200 mm fabrication line online in Agrate, Italy, dedicated to global-shutter CMOS sensors for traffic-camera systems, expanding capacity by 20% and trimming lead times to 18 weeks.
- April 2025: Teledyne Technologies introduced a 1 280 × 1 024 InGaAs shortwave infrared sensor for border surveillance, offering 35% higher quantum efficiency and listing at USD 750 per unit for defense clients.
- February 2025: Samsung Electronics began volume shipments of a 2-megapixel neuromorphic image sensor co-developed with SK hynix, priced at USD 32 per unit and aimed at drone-mounted perimeter cameras that must operate below 50 mW.
Global Image Sensor For Security Application Market Report Scope
The image sensor for security application market report is Segmented by Application (Home Security Cameras, Commercial Surveillance Cameras, Infrastructure and Traffic Cameras, Defense and Border Surveillance Cameras), Technology (CMOS Image Sensors, CCD Image Sensors, Emerging Technologies), Spectrum (Visible Spectrum Sensors, Infrared and Near-Infrared Sensors, Thermal Sensors, Multispectral and Hyperspectral Sensors), Processing Type (2D Image Sensors, 3D/Time-of-Flight Image Sensors, AI-Enabled On-Chip Image Sensors, Neuromorphic Event-Based Sensors), End-Use Sector (Residential, Commercial and Industrial, Critical Infrastructure, Government and Law Enforcement, Defense and Military), and Geography (North America, South America, Europe, Asia Pacific, Middle East, Africa). The Market Forecasts are Provided in Terms of Value (USD).
| Home Security Cameras |
| Commercial Surveillance Cameras |
| Infrastructure and Traffic Cameras |
| Defense and Border Surveillance Cameras |
| CMOS Image Sensors |
| CCD Image Sensors |
| Emerging Technologies (e.g., InGaAs, SWIR) |
| Visible Spectrum Sensors |
| Infrared and Near-Infrared Sensors |
| Thermal Sensors |
| Multispectral and Hyperspectral Sensors |
| 2D Image Sensors |
| 3D/Time-of-Flight Image Sensors |
| AI-Enabled On-Chip Image Sensors |
| Neuromorphic Event-Based Sensors |
| Residential |
| Commercial and Industrial |
| Critical Infrastructure |
| Government and Law Enforcement |
| Defense and Military |
| North America | United States | |
| Canada | ||
| Mexico | ||
| Europe | United Kingdom | |
| Germany | ||
| France | ||
| Italy | ||
| Rest of Europe | ||
| Asia-Pacific | China | |
| Japan | ||
| India | ||
| South Korea | ||
| Rest of Asia | ||
| Middle East and Africa | Middle East | Saudi Arabia |
| United Arab Emirates | ||
| Rest of Middle East | ||
| Africa | South Africa | |
| Egypt | ||
| Rest of Africa | ||
| South America | Brazil | |
| Argentina | ||
| Rest of South America | ||
| By Application | Home Security Cameras | ||
| Commercial Surveillance Cameras | |||
| Infrastructure and Traffic Cameras | |||
| Defense and Border Surveillance Cameras | |||
| By Technology | CMOS Image Sensors | ||
| CCD Image Sensors | |||
| Emerging Technologies (e.g., InGaAs, SWIR) | |||
| By Spectrum | Visible Spectrum Sensors | ||
| Infrared and Near-Infrared Sensors | |||
| Thermal Sensors | |||
| Multispectral and Hyperspectral Sensors | |||
| By Processing Type | 2D Image Sensors | ||
| 3D/Time-of-Flight Image Sensors | |||
| AI-Enabled On-Chip Image Sensors | |||
| Neuromorphic Event-Based Sensors | |||
| By End-Use Sector | Residential | ||
| Commercial and Industrial | |||
| Critical Infrastructure | |||
| Government and Law Enforcement | |||
| Defense and Military | |||
| By Geography | North America | United States | |
| Canada | |||
| Mexico | |||
| Europe | United Kingdom | ||
| Germany | |||
| France | |||
| Italy | |||
| Rest of Europe | |||
| Asia-Pacific | China | ||
| Japan | |||
| India | |||
| South Korea | |||
| Rest of Asia | |||
| Middle East and Africa | Middle East | Saudi Arabia | |
| United Arab Emirates | |||
| Rest of Middle East | |||
| Africa | South Africa | ||
| Egypt | |||
| Rest of Africa | |||
| South America | Brazil | ||
| Argentina | |||
| Rest of South America | |||
Key Questions Answered in the Report
How large is the image sensor market for security uses in 2025?
The image sensor market size stands at USD 3.44 billion in 2025 and is projected to grow at an 8.97% CAGR to 2030.
Which application is expanding the quickest?
Defense and border surveillance cameras lead growth with an 11.20% CAGR, driven by rising geopolitical tensions and demand for SWIR and multispectral sensors.
What share of revenue did Asia Pacific hold last year?
Asia Pacific commanded 42.47% of global revenue in 2024, anchored by extensive deployments in China and India.
Why are stacked CMOS sensors important now?
Stacked CMOS combines the pixel array with a logic die, enabling on-chip AI and higher frame rates while reducing backhaul bandwidth and meeting data-localization rules.
What is the biggest supply-chain risk?
A shortage of 300 mm wafer capacity for stacked CMOS continues to extend lead times beyond 26 weeks, pressuring integrators to consider smaller wafers or alternative technologies.
Which new technology might reshape low-power perimeter cameras?
Neuromorphic event-based sensors promise sub-1 ms latency and under 100 mW power draw, making always-on solar-powered surveillance feasible in remote sites.
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