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How do drones help with roof inspections and building surveys?

Drones are not something new to the world. So many industries use drones for numerous purposes. Roof inspections and building surveys hold a prominent place out of them.

Before you contact any drone survey company to obtain roof inspection or building survey services, it is better to have a basic understanding of how these opportunities are offered. Continue to read and we will share more details with you…

How to use drones for roof inspections and building surveys?


Conducting a roof inspection can be challenging for various reasons. However, it is possible to overcome that struggle with the help of drones technology or as they are sometimes know, UAV’s (Unmanned Aerial Vehicles).

Drones capture aerial data, which is helpful with inspecting roofs with both video and images. In other words, this technology allows you to obtain detailed information about the condition of a roof.

Information captured using a drone roof inspection includes elevations, measurements, and point clouds to name but a few.

On top of these, you will also be able to create 3D models of buildings. Such data can be helpful for surveyors and construction personel, as they can magnify in and discover specific location information that they are searching for.

They will be able to use the vast amount of data to report the accurate conditions of a building for maintenance and upkeep of the structure. For example, the highly accurate measurements and images will allow the surveyors to zoom in and see all sorts of defects and cracks that are present on top of the roof.

Potentially giving reason to stop sending operatives into very dangerous situations. When all information is included in the report, it would be highly accurate.

Why use drones for roof inspections and building surveys?


Drones are quite popular for inspections because they provide numerous benefits over traditional surveying techniques. Let’s take a quick look at some of the most prominent benefits that drones can offer for roof inspections.

• Drones can deliver a faster turnaround when compared to traditional surveying techniques. For example, it is possible to complete a comprehensive drone inspection within a few days.
• Drone inspections will cause fewer disruptions to the tenants living in a building. You will not come across the need to go ahead with foreclosures of roads and pavements as well. This will not just help you to save time but can also help you with saving money.
• Drones are a less expensive alternative available for diesel-powered equipment that some surveyors use. On the other hand, you can also consider it as an eco-friendly alternative. That’s because you can pick a reputed drone survey company that uses solar energy for recharging the drones batteries.
• Drone inspections are cost-effective. All you should have is a drone to get the job done. This will help you to stay away from the cost of hiring personnel and equipment.
• A drone inspection can provide real-time data to you. For example, the clients will be able to see footage as it is captured with VR goggles. Then the clients can provide directions on what areas should be paid with more attention during the inspection.
• Drones can facilitate efficient data sharing as well. Once drone footage is captured, it is possible to download the videos and images and share them with all parties who are involved with the insurance and repair of a building.

Now you are convinced why drone inspections are more effective in terms of inspecting roofs and buildings. To experience all these benefits, just get in touch with any reputed drone survey company.
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Video Analytics in Manufacturing Industry: Benefits, Challenges, and Future Trends
The manufacturing industry is increasingly turning to technology for improving productivity, efficiency, and safety. Video analytics is a technology that has been adopted by the manufacturing industry to improve safety, efficiency, and productivity. Video analytics uses machine learning algorithms to analyze video data and extract insights. In this blog post, we will discuss video analytics in the manufacturing industry, its benefits, and applications. What is Video Analytics? Video analytics is a technology that uses machine learning algorithms to analyze video data and extract insights. Video analytics software uses artificial intelligence and machine learning algorithms to detect, recognize, and track objects and events in video footage. The technology can be used for various applications, including security, surveillance, retail, marketing, and manufacturing. Video Analytics in Manufacturing Industry Video analytics has become an integral part of the manufacturing industry. Video analytics software can be used to monitor equipment, processes, and people in manufacturing plants. The software can detect and alert plant operators to any anomalies or issues, improving efficiency and reducing downtime. One of the key applications of video analytics in manufacturing industry is quality control. Video analytics software can analyze video data from production lines and identify defects or inconsistencies in products. This allows manufacturers to identify issues early in the production process, reducing waste and increasing product quality. Another application of manufacturing video surveillance is safety monitoring. The software can monitor workers in the plant and identify any safety hazards, such as workers not wearing personal protective equipment or entering hazardous areas. The software can also detect equipment malfunctions or failures, reducing the risk of accidents and injuries. Video analytics software can also be used to monitor the supply chain. The software can track inventory levels, monitor logistics, and provide real-time insights into the supply chain. This can help manufacturers optimize their supply chain, reduce costs, and improve efficiency. Benefits of Video Analytics in Manufacturing Industry Despite the challenges associated with implementing video analytics in the manufacturing industry, there are numerous benefits that justify its use. Here are some of the benefits of using video analytics in the manufacturing industry: Improved Safety - One of the primary benefits of using video analytics in manufacturing is improved safety. Video analytics software can help identify potential hazards and alert workers of impending danger in real-time. Additionally, video analytics can also help identify unsafe worker behavior and provide corrective actions to improve safety. Increased Efficiency - Video analytics can help manufacturers identify inefficiencies in their production process and provide recommendations for improvement. By analyzing video footage, manufacturers can identify bottlenecks, optimize workflows, and reduce waste. This can lead to increased productivity and profitability. Enhanced Quality Control - Video analytics can also help manufacturers ensure product quality by identifying defects and inconsistencies in real-time. By analyzing video footage, manufacturers can detect defects earlier in the production process, reducing the need for costly rework and ensuring that only high-quality products are shipped to customers. Reduced Downtime - By detecting potential issues early, video analytics can help reduce downtime in the manufacturing process. This can lead to improved productivity and profitability. Applications of Video Analytics in Manufacturing Industry Video analytics has several applications in the manufacturing industry. Some of these applications include: Quality Control: Video analytics can be used to detect defects and inconsistencies in products early in the production process. Safety Monitoring: Video analytics solution can monitor workers and equipment, reducing the risk of accidents and injuries. Inventory Management: Video analytics can track inventory levels and monitor logistics, providing real-time insights into the supply chain. Equipment Maintenance: Video analytics can detect equipment malfunctions or failures, allowing manufacturers to perform maintenance before equipment breaks down. Process Optimization: Video analytics can identify inefficiencies in manufacturing processes, allowing manufacturers to optimize their production lines and improve efficiency. Challenges of Video Analytics in Manufacturing Industry Video analytics in the manufacturing industry can present a lot of challenges. Here are some of the most common challenges that need to be addressed: Integration with legacy systems: One of the biggest challenges is integrating video analytics with the existing legacy systems in the manufacturing industry. This is because most of the systems are not designed to work with video analytics. There may be issues related to compatibility, which can make the implementation of video analytics a complicated process. Data quality: Another challenge is ensuring the quality of data. It is important to ensure that the data collected through video analytics is accurate and reliable. This can be a challenge as the data is often incomplete or inaccurate. Therefore, it is important to have proper data cleaning and data normalization processes in place. Scalability: Implementing video analytics in a small setting is relatively easy, but it becomes more challenging when the system needs to be scaled up to accommodate larger manufacturing plants. The system needs to be scalable to accommodate the additional data and the increased number of cameras that will be required. Real-time analytics: In the manufacturing industry, real-time data is essential for making critical decisions. However, analyzing video data in real-time can be challenging. The analytics system needs to be capable of processing the data quickly and efficiently to provide real-time insights. Privacy and security: Video analytics systems involve capturing video data, which can be a potential threat to privacy and security. Therefore, it is important to ensure that the video analytics system is secure, and the data is encrypted. Cost: Implementing a video analytics system can be expensive, especially for small and medium-sized manufacturing companies. The cost of cameras, hardware, and software can add up quickly. Human intervention: Video analytics systems can generate a lot of false alarms, which can be frustrating for operators. This can lead to human intervention, which defeats the purpose of having an automated system in place. Training and skills: Implementing video analytics requires specialized skills, including knowledge of computer vision, machine learning, and deep learning. This can be a challenge for manufacturing companies that do not have the required skills in-house. These are some of the challenges that need to be addressed when implementing video analytics in the manufacturing industry. However, with the right planning and resources, these challenges can be overcome. Future of Video Analytics in Manufacturing Industry The future of video analytics in the manufacturing industry is bright. As technology continues to advance, video analytics will become even more sophisticated, making it easier for manufacturers to analyze data and make informed decisions. Some of the trends that are expected to shape the future of video analytics in manufacturing include: 1. Artificial Intelligence - Artificial intelligence (AI) will play a critical role in the future of video analytics in manufacturing. By incorporating AI algorithms into video analytics software, manufacturers can automate data analysis and make more accurate predictions about the future. This can help manufacturers optimize their production processes, reduce waste, and increase profitability. 2. Edge Computing - Edge computing is another trend that is expected to shape the future of video analytics in manufacturing. Edge computing involves processing data at the edge of the network, rather than in a centralized location. By using edge computing, manufacturers can reduce latency and improve real-time data processing. 3 5G Networks - 5G networks are also expected to play a critical role in the future of video analytics in manufacturing. With 5G networks, manufacturers can transmit large amounts of data quickly and reliably, enabling real-time video analytics and decision-making. Conclusion In conclusion, video analytics is an emerging technology that has the potential to transform the manufacturing industry. By leveraging the power of video data, manufacturers can improve safety, increase efficiency, enhance quality control, and reduce downtime. However, there are also challenges associated with implementing video analytics, including data privacy concerns and the need for significant investments in technology and infrastructure. As technology continues to advance, the future of video analytics in manufacturing looks bright, with trends such as artificial intelligence, edge computing, and 5G networks expected to play a critical role in shaping its future. CronJ - a leading provider of video analytics solutions for the manufacturing industry can help you in manufacturing video surveillance. References: https://www.sciencedirect.com/science/article/pii/S2405452620304637
Breaking Boundaries: Drone Racing - A Sport or No?
Lately, the growing popularity of eSports has brought forth a question of whether it should be classified as a sport. Some say yes, some say no, and some say, "Who cares?". Hidden under the shadow of eSports, popularity of First Person View (FPV) drone racing has sneakily risen. It is now knocking on the doors of mainstream acceptance - previously opened only to "traditional" sports such as soccer, basketball, and baseball. It is up to the consumers to decide to recognize it as a sport or not. So, what is First Person View drone racing? The Drone Racing League describes it as such: Source: http://thedroneracingleague.com/learn-more/ It can be noted that the Drone Racing League has defined it as a sport. With the ease in which people can access drones and its appeal as a racing sport, the growth of FPV drone racing resembles that of a minor explosion: 1. The governing body IDRA - International Drone Racing Association- has gone from a concept to having over 50,000 members. 2. Prize pools for competitions have gone from $10,000 to $1 million, the latter offered by Sheikh Mansour's cousin, who hosts the Dubai World Drone Prix. Caption: Track in Dubai, 15 year old Luke Bannister receiving the champions' trophy as the 2016 Dubai Grand Prix Winner. 3. It has gone from national races to international distribution in eight months. ESPN has partnered with IDRA to bring the world of drone racing to its viewers this coming August. . Here is the network's words in a press release: "Drone racing is currently seeing an unprecedented rise in popularity and is poised to become the next behemoth racing sport alongside NASCAR and Formula 1." With this mainstream exposure, negativity about its growth and image has popped up, like the comment below: Over twenty replies have been posted to this comment. There are hundreds of other opinions such as this, all involving its classification as a sport and its athletes being professionals. What do you guys think? Yes? No? or Who Cares?
Choisir un drone en toute consience
Tout d'abord avant de commencer par les basiques des caractéristiques, il faut savoir que sur le marché, il existe quelques marques de références qui sont plutôt fiables, mais aussi beaucoup d'arnaques, de produits chinois importés qui n'offrent pas satisfaction. Si c'est pour l'achat d'un drone de loisir, préférez acheter dans les grandes enseignes sur place ou sur leurs sites web. (Fnac, Amazon, Boulanger, Darty...). Voici une liste de marques qui sont assez populaires, anciennes et de confiance : DJI, Parrot, Hubsan, Potensic, Eachine, Snaptain et c'est a peu près tout. Méfiez-vous des offres trop alléchantes qu'on peut trouver sur le web avec des publicités. Ensuite, il faudra se pencher sur l'utilisation que l'on souhaite en faire. L'achat sera totalement différents si c'est pour un enfant, un adolescent, un confirmé, faire de très belles vidéos ou juste pour s'amuser ou encore faire des courses de drones. Néanmoins, il y a quelques éléments importants à ne pas négliger quel que soit l'utilisation. Taille & Poids Plus le drone est petit et léger, plus il est facile à transporter avec vous partout. Par contre, si le drone est vraiment très léger, il sera plus sensible au vent et ne pourra voler seulement en intérieur ou dehors sans vent. C'est à peu près le cas de tous les drones en dessous de 100 grammes. Concernant la taille, plus le drone est petit, mieux c'est. Les drones pliables sont très appréciés en raison de leur facilité de transport. Autonomie L'une des caractéristiques les plus importantes est l'autonomie du drone. Les drones fonctionnent grâce à des batteries au lithium dans la grande majorité des cas. Actuellement, la technologie ne permet pas de dépasser environ 30 minutes à 40 minutes d'autonomie pour les meilleurs drones de 2020. Il faut impérativement choisir un drone qui possède une batterie amovible (surtout pour les modèles pas chers). Puisqu'avec plusieurs batteries interchangeables, vous allez pouvoir faire voler le drone plus longtemps. Portée ou Distance de contrôle La portée est aussi très importante dans le choix d'un engin volant. Quand on parle de portée ou de distance de contrôle, c'est le nombre de mètres ou kilomètres entre le drone et le pilote en vol. Il faut que celle-ci offre un retour vidéo en direct (FPV) sur la télécommande ou sur un smartphone pour piloter correctement le drone sur de longues distances. Donc, un drone doit posséder une caméra ! Sauf pour les modèles jouets qui s'utilisent généralement sur une distance max de 50 mètres ou en intérieur. La caméra La caméra est permet donc de piloter le drone sur des longues distances, mais aussi pouvoir faire des photos & vidéos. Il existe de nombreuses caractéristiques différentes mais pour faire simple, La résolution vidéo de 1080p ou plus aura de bons résultats. 720p est un peu léger, on retrouvera cette résolution que sur les drones-jouets. Ensuite, un drone possédant une stabilisation de la caméra améliorera grandement la qualité des vidéos. C'est une caractéristique essentielle si vous achetez un drone pour filmer les paysages vu du ciel. Conclusion Il existe d'autres éléments à prendre en compte, mais déjà en prenant compte de la taille, la portée, l'autonomie et la caméra vous avez les bases pour choisir un drone !