Abstract: A time-of-flight (TOF) sensor device is configured to perform classification analytics on a waveform signal representing a reflected light pulse, and to classify an object from which the light pulse was received based on characteristic properties of the reflected pulse. The TOF sensor device can compare the reflected pulse waveform with stored characteristic waveform profiles indicative of different types of objects or atmospheric particulates, including but not limited to snow, aerosol, water, fog, or mist. Some embodiments of TOF sensor device can also detect excessive levels of mist or suspended particulates that may reduce the detection accuracy of the sensor. To this end, such embodiments project focused light beams according to a defined pattern, and compare the reflected pattern with the defined pattern to determine a degree of pattern distortion attributable to the presence of mist.

Abstract: A time-of-flight (TOF) sensor device is configured to perform classification analytics on a waveform signal representing a reflected light pulse, and to classify an object from which the light pulse was received based on characteristic properties of the reflected pulse. The TOF sensor device can compare the reflected pulse waveform with stored characteristic waveform profiles indicative of different types of objects or atmospheric particulates, including but not limited to snow, aerosol, water, fog, or mist. Some embodiments of TOF sensor device can also detect excessive levels of mist or suspended particulates that may reduce the detection accuracy of the sensor. To this end, such embodiments project focused light beams according to a defined pattern, and compare the reflected pattern with the defined pattern to determine a degree of pattern distortion attributable to the presence of mist.

Abstract: An optical safety scanner system comprises a first illumination source for detecting presence and distances of people or other objects within a hazardous industrial area based on triangulation, and a second illumination source that verifies accurate and reliable detection by the first illumination source. The first illumination source can project LED or laser light for triangulation of objects, and the second illumination source can project a wide beam of light for detection of other intrusive objects that may be blocking the scanner system's camera and preventing accurate triangulation of people or vehicles. If the image frame generated based on the second light identifies presence of an object that is not detected by the triangulation analysis of the laser light, the safety scanner system assumes that an object is obstructing the safety scanner system's camera, and performs a suitable safety action.

Abstract: An optical safety scanner system comprises a first illumination source for detecting presence and distances of people or other objects within a hazardous industrial area based on triangulation, and a second illumination source that verifies accurate and reliable detection by the first illumination source. The first illumination source can project LED or laser light for triangulation of objects, and the second illumination source can project a wide beam of light for detection of other intrusive objects that may be blocking the scanner system's camera and preventing accurate triangulation of people or vehicles. If the image frame generated based on the second light identifies presence of an object that is not detected by the triangulation analysis of the laser light, the safety scanner system assumes that an object is obstructing the safety scanner system's camera, and performs a suitable safety action.

Abstract: A time-of-flight (TOF) sensor device is configured to perform classification analytics on a waveform signal representing a reflected light pulse, and to classify an object from which the light pulse was received based on characteristic properties of the reflected pulse. The TOF sensor device can compare the reflected pulse waveform with stored characteristic waveform profiles indicative of different types of objects or atmospheric particulates, including but not limited to snow, aerosol, water, fog, or mist. Some embodiments of TOF sensor device can also detect excessive levels of mist or suspended particulates that may reduce the detection accuracy of the sensor. To this end, such embodiments project focused light beams according to a defined pattern, and compare the reflected pattern with the defined pattern to determine a degree of pattern distortion attributable to the presence of mist.