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Sensor and ISPTechnology Deep Dive

What is a dust denoising filter in TOF camera, and how does it remove noise artifacts in vision systems?

Prabu Kumar
by Prabu Kumar
Time-of-Flight (ToF) cameras with IR sensors are susceptible to performance variations caused by environmental dust. This dust can create ‘dust noise’ in the output depth map, directly impacting camera accuracy and, consequently, the reliability of critical embedded vision applications. In this blog, you’ll get to know What the Dust Denoising......
Camera ApplicationsMobility

What is The Role of Embedded Cameras at Different Levels of Autonomous Driving?

Suresh Madhu
by Suresh Madhu
Autonomous driving depends on vision that can keep up with moving traffic, variable light, and decisions that change within seconds. Embedded cameras supply the visual detail needed for lane detection, sign interpretation, hazard tracking, close-range maneuvering, and interior vigilance. As automation rises, imaging has to deliver higher resolution, stronger HDR...
Camera ApplicationsSmart Surveillance

How AI-Based Surveillance Systems Use Cameras to Safeguard Critical Infrastructure

Ram Prasad
by Ram Prasad
Critical infrastructure relies on steady oversight across power yards, transit corridors, and port terminals, so imaging workflows must capture movement clearly and supply usable signals for control rooms. Vast outdoor spans, unpredictable light, constant motion, and high data volume push cameras to sustain strong brightness handling, stable frame output, and...
Camera ApplicationsSports Broadcasting & Analytics

Cameras for Casino Gaming: Elevating Fair Play, Security, and Streaming Experiences

Ranjith Kumar
by Ranjith Kumar
Casino floors run on continuous visual clarity because every action on a table carries financial impact and player scrutiny. Card flips, dice spins, roulette cycles, and chip movement unfold at high speed, so sensors, optics, and frame handling shape the integrity of every session. Rooms also include mixed setups where...
Camera ApplicationsSmart Traffic

What Are the Must-Have Camera Features That Make Intersection Monitoring Smarter?

Dilip Kumar
by Dilip Kumar
Crossings inside cities carry dense movement from vehicles, cyclists, and pedestrians, so imaging must read patterns quickly and feed insights to roadside units for smooth flow. Bright sun, shadow zones, headlamp glare, fast turns, and lane shifts demand sensors with strong brightness control, clean motion capture, and reliable frame integrity....
Camera ApplicationsSmart Surveillance

Body-Worn Cameras: Saving Lives in Rescue Scenarios with Surveillance Imaging

Ram Prasad
by Ram Prasad
Rescue teams operate where visibility drops, communication breaks, and seconds decide survival. Embedded imaging bridges that gap by giving command centers a live view of what responders face in the field. The technology links optics, processing, and connectivity into a single system that keeps operations synchronized. This blog breaks down...
OpticsTechnology Deep Dive

TLens vs VCM Autofocus Technology

Prabu Kumar
by Prabu Kumar
Autofocus is crucial in embedded vision applications across various industries, including medical devices, robotics, and autonomous vehicles. Traditional VCM-based autofocus systems, however, face several challenges: slow response, friction, vibration, motion blur, heat generation, and reduced reliability....
Camera ApplicationsDental Imaging

Wired vs. Wireless Intraoral Cameras: How to Find the Right Fit for Dental Practices?

Balaji S
by Balaji S
Dental imaging depends on instant, accurate visuals that translate clinical detail into clear communication. Choosing the right connection type influences not only image consistency but also how clinicians move, interact, and manage workflows. Each setup has different advantages, from continuous chair-side readiness to flexible operation across stations. In this blog,...
Camera ApplicationsSmart Traffic

What Edge AI Cameras Can Do: Enforcing No-Parking Zones and Detect Illegal Stops

Dilip Kumar
by Dilip Kumar
Urban congestion leaves little room for error in enforcing no-parking rules and detecting illegal stops. Traditional patrol methods struggle with coverage gaps, slow response, and incomplete evidence. Smart cameras now handle these challenges. The blog explores how these cameras work, the types of violations they capture, and the features that...