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Easy installation and long battery life are the factors attributed to the increased demand for battery powered detectors. However, the battery powered segment is likely to face strong competition from the hardwired and hardwired with battery detector segments. Hardwired battery detectors are slowly gaining popularity due to the extensive protection they offer. Market Segmentation by Product Type• Photoelectric Detectors• Ionization Detectors• OthersMarket Segmentation by End User• Commercial• Industrial• Residential• Educational Institutions• GovernmentMarket Segmentation by Power Sources• Hardwired• Battery powered• Hardwired with BatterySmart Smoke Detector Market –GeographyThe global smart smoke detector market by geography is segmented into APAC, Europe, North America, Latin America, and MEA. North America is likely to dominate the global smart smoke detector market in terms of shipment. In North America, the US and Canada were the major revenue contributors to the market in 2018, as these countries witnessed a surge in the adoption of smoke detecting devices due to stringent fire safety norms. In addition, the rapid adoption of photoelectric solutions and dual smoke detecting systems is also expected to influence the market during the forecast period positively. Rapid urbanization is expected to drive the smart smoke detector market in APAC during the forecast period. The MEA region is also expected to witness steady growth in the demand for the smart smoke detector. Key Vendor AnalysisThe smart smoke detector market has highly diversified as each geography has its own competitive dynamics. The North American market can be termed as the most competitive market due to high product reach, increasing market demand, and the presence of several players.

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01.14.2007 | 34 Comments

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01.14.2007 | 16 Comments

In some instances, the event segments are not stored separately and the segmentation information includes references to the raw video data 31683 as well as date and time information for reproducing the event segments. In some implementations, the event segments include one or more audio segments e. g. , corresponding to video segments. The event features data 31685 includes information regarding event features such as event categorizations/classifications, object masks, motion masks, identified/recognized/tracked motion objects also sometimes called blobs, information regarding features of the motion objects e. g.