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5 Mar 2002 The QRB1113/1114 consists of an infrared emitting diode and an NPN silicon phototransistor mounted side by side on a converg- ing optical axis in a black plastic housing. The phototransistor responds to radiation from the emitting diode only when a reflective object passes within its field of view. The area
Infrared Object Detection Sensor. IR-TR-10. INTRODUCTION AND OVERVIEW. This Medium Range Infrared sensor offers simple, user friendly and fast obstacle detection using infrared; it is non contact detection. The implementations of modulated IR signal immune the sensor to the interferences caused by the normal light
Description: Each reflective object sensor in the OPB708, OPB709, OPB740 through OPB746 and OPB740WZ through. OPB746WZ series consists of an infrared emitting diode and a NPN silicon phototransistor or a photodarlington. The OPB747WZ and OPB748WZ consist of a Red visible LED and a low light level rejection
The QRD1113/14 reflective sensor consists of an infrared emit- ting diode and an NPN silicon photodarlington mounted side by side in a black plastic housing. The on-axis radiation of the emit- ter and the on-axis response of the detector are both perpendic- ular to the face of the QRD1113/14. The photodarlington responds
QRE1113GR — SMT Reflective Object Sensor. Absolute Maximum Ratings (TA = 25°C unless otherwise specified). Stresses exceeding the absolute maximum ratings may damage the device. The device may not function or be operable above the recommended operating conditions and stressing the parts to these levels is
Object recognition with a smart low-cost active infrared sensor array. Heinrich Ruser. Institute of Measurement and Automation,. University of Bundeswehr Munich, Germany heinrich.ruser@unibw.de. Abstract. The paper presents an effective solution for determining characteristic features of objects from a simple.
Object Detection, Tracking and. Recognition for Multiple. Smart Cameras. Efficient distributed algorithms defined for small networks of fixed cameras may be adaptable to larger networks with mobile, steerable cameras. By Aswin C. Sankaranarayanan, Student Member IEEE,. Ashok Veeraraghavan, Student Member IEEE,
Selecting an industrial sensor can be daunting. With so many different sensing technologies and the endless variety of products in the market, how is it possible to find that one ideal sensor for any given application? It's not really so much a process of selecting the right sensor . . . it's really about eliminating all the wrong
In this paper, an intelligent sensor network is developed for object detection, classi- fication and recognition. We utilize wireless sensors as the first layer to detect coordi- nates of moving objects in a secured area. Cameras are activated to capture image fea- tures for object classification and recognition. In order to reduce
ABSTRACT. Different types of sensors are often fused to acquire information which cannot be acquired by a single sensor. Sensor fusion is particularly applicable for mobile robots for object detection and navigation. The techniques that have been developed so far for detecting an obstacle are costly. Hence, a new
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