By using the world’s latest technology and with the help of a team of elites, the company has been able to produce commercial products in the field of artificial intelligence focusing on image processing. Image processing and machine vision software must be very fast to analyze and extract information from a photo or a sequence of images; so that they can give the system of the ability to quickly observe the surroundings and analyze information. The software produced by Hoopad team can analyze the images, extract useful information from them and also understanding of the objects in the images that has a very high processing speed and be able to displays the results in real-time; Therefore, these software run under Linux-based operating systems. Hoopod image processing boxes have the ability to implement powerful deep learning technology and that’s why these tracking software can understand people’s movement algorithms and predict to identify each person after their next movements. The software of Hoopad Vision company perform parallel processing on several input live-stream channels and have the ability to connect to all types of IP and HD CCTV cameras. In these software, people’s movements are detected and executed based on the defined movements. The company’s software has three versions, Basic, Pro and Ultra, depending on the hardware power. You can customize and optimize the software features for your organization depending what you need. Hoopad’s sale team believes that many features such as efficiency, reliability, and safety are important things in purchasing software; although, all our products will include a lifetime warranty and support.
In the following part, we will introduce Hoopad’s software set which is called “HBOX”.
For several years, various methods have been used for attendance and access control in different places. It all started with a written list of names on a piece of paper. Later, punch cards were used, then magnetic cards and barcodes, and today biometric technology such as fingerprints is being used. Nowadays, with the development of facial recognition technology, access control and attendance has entered a new era. This contactless authentication is more hygienic and convenient as users no longer have to worry about things like carrying an ID card or opening a door when their hands are busy.
Access control using keys (physically)
Access control using cards
Access control using fingerprints
The central aim of Super-Resolution is to generate a higher resolution image from lower resolution image. High resolution image offers a high pixel density and thereby more details about the original image. The need for high resolution is common in computer vision applications for better performance in pattern recognition and analysis of images.
For a long time, people have always worried about theft of their property and thieves entering their property. At first, people used birds such as geese and roosters to know the presence of thieves around their properties. After that, guard dogs and alarms such as mechanical bells were also used to establish more security. Even today, people use alarm systems that are much more advanced than in the past to protect their properties. Most of the burglar alarm systems on the market work in a way that is sensitive to any movement that happens in the camera. On the other hand, detecting all movements in the camera causes false alarms such as rain, wind, tree movement, curtain (cloth) movement, and animal movement. False alarms challenge the identification of specific targets such as humans and vehicles, which are the most common uses for burglar alarms. Also, wrong warnings affect the accuracy and sensitivity of the owner and make the person not pay attention to the correct warnings. Hoopod’s anti-theft system, known as Hdetect, has solved this problem. In this system, you can determine the sensitivity to specific objects and the alarm will work accordingly. For example, the system is sensitive to the movement of people and vehicles; In this way, an alert will be issued only when people and moving vehicles are seen on the camera.
Surveillance systems are most commonly used for monitoring/surveillance of almost all public and private places. Real time behaviour of these systems add extra capacity to the surveillance activity. In such cases, any suspicious or uneven activity is detected by analysing the real time video stream of the cameras through these system. At maximum places, the surveillance activity is more manual, i.e. real time video footage of CCTV is monitored by security personals in some control room. It is difficult for any human being to monitor CCTV continuously and tirelessly without any rest. Therefore, robustness and effectiveness of such surveillance depends on technological strength of security personals, (i.e. human being). Crowd detection is a software that is used in populated places to count the number of people and to recognize occupancy of a place.
Traffic management is important in many places, organizations, offices and etc. in order to establish discipline and prevent any security problems. In most places, traffic control is done by direct monitoring and relying on CCTV cameras. Thus, the permanent presence of a system operator or security guard is required to control traffic.
With the progress of artificial intelligence in recent years, various software have emerged in the field of security and monitoring. One of these software is license plate reader software. By using the license plate reader software, there is no longer a need for an operator or security guard to be constantly present, and monitoring is done in a completely intelligent manner with high accuracy and speed by the system. License plate reader software has the ability to detect and identify vehicle license plates. In this way, it is possible to define the authorized license plates and etc. for the system and according to that, the license plate reader system can perform the relevant tasks. The entrances should be closed for unauthorized license plates, or the entrances and exits should be closed for suspicious license plates. Among the disadvantages of license plate reader systems, we can refer to its low accuracy. As an example, the system might miss the plate of high speed vehicles so that their license plates won’t be recognized. In HOOPAD license plate recognition system, which is known as HPlate, the mentioned problems have been taken into consideration and we have tried to provide a software with minimum error in identification.
Working with license plate detection software may have some challenges to apply. One of those challenges is the light that changes during the day and the mentioned software should be able to recognize plates at night as well as it does in the day light. Producing HPlate software, we considered this challenge so that this software is able to recognize plates at night too.
We all know how important it is to use personal protective equipment, known as “PPE”. A range of industries use PPE to protect their workforce from occupational hazard. The construction, mining, chemical and pharmaceutical industries are among those using PPE on regular basis. Healthcare workers also use PPE to ensure safety during working hours. Considering the importance of using PPE, we produced the PPE detection software called “HProt”. The purpose of this software is to recognize if a worker is wearing a hamlet and a vest or not. HProt is able to proceed in different environments and you can check each worker individually to see if they’re wearing needed PPE or not.
Fire has always been a danger for human lives and their properties and that’s why fire detection seems to be an important issue. “HFIRE” is the software we produced to recognize the fire from the very beginning that it starts to flame. When HFire warns us about the fire, we can proceed faster to call firefighters to extinguish the flames.