SKU: 6593103425

Motion Sensor Alarm

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Description

Motion Sensor AlarmA burglary occurs every 14. 5 seconds in the U. S., and budget cuts have led to an average 911 response time of 10 minutes. Better monitor your home with this extremely loud 120dB Motion Sensor Alarm, which is audible up to 1,500 feet (457 meters) away. This home security motion sensor detects movement up to 20 feet (6 meters) away. It features 3 adjustable settings: (chime alarm home and away). Chime mode is ideal for alerting you when children and

A burglary occurs every 14.5 seconds in the U.S., and budget cuts have led to an average 911 response time of 10 minutes. Better monitor your home with this extremely loud 120dB Motion Sensor Alarm, which is audible up to 1,500-feet (457-meters) away. This home security motion sensor detects movement up to 20-feet (6-meters) away. It features 3 adjustable settings: (chime/alarm/home and away). Chime mode is ideal for alerting you when children and guests are coming and going when you are at home while Alarm mode will sound off the 120dB alarm when the door is opened. It also features a Home and Away mode which allows you to come and go without worrying you’ll accidentally set the alarm off and can be armed when you require protection. The consumer preferred, premium white motion sensor looks great inside your home! With no wiring needed, the alarm installs in minutes and works during power outages. Requires 3xAAA batteries (not included). The Motion Sensor Alarm was developed by SABRE, the #1 pepper spray brand trusted by police and consumers worldwide, meaning this product is extremely reliable. Backed by over 45 years in the security industry, SABRE products are ISO 9001:2015 certified and must pass rigorous quality assurance testing before leaving our facilities to give you peace of mind. Improve your home security today.

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SKU: 6593103425

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4.4 ★★★★★
Based on 18 reviews
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Verified Purchase
Zay
Port Orchard, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
R
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Rory Derrick
Carnegie, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
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Verified Purchase
Cory P.
Louisville, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
F
Verified Purchase
Frank Gonzalez
Houston, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Omaha, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021

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