スカイロジック List of Products and Services

EasyMonitoring2 automatically reads and records meter data simply by installing a network camera in front of the meter that needs monitoring, without requiring any additional actions. It eliminates the cumbersome tasks of visual checks, recording in ledgers, and re-entering data into Excel, thereby streamlining operations. Since it continuously monitors with a network camera, it eliminates the need for patrols and can obtain data as frequently as every few seconds to determine if there are any abnormalities. To eliminate the need for patrols, EasyMonitoring2 not only has a meter reading function but also possesses various features to identify valve positions, water leaks, turbidity, and other conditions typically checked visually. **Advantages of EasyMonitoring2** - Easy and quick implementation - A system configuration that is self-contained within the facility - Compatible with various network cameras - No operational costs due to a one-time purchase package - Supports condition checks for flames, liquids, and more - Utilizes deep learning (AI) *For more details, please refer to the PDF materials or feel free to contact us.*

The "Equipment Monitoring Cloud" is a system that allows for the monitoring of facilities such as substations and dams in mountainous areas using mobile networks and network cameras. Regular meter readings and lamp checks are conducted, and immediate notifications are sent in case of abnormalities. By eliminating the need for travel for inspections, costs are reduced, and frequent automated checks enable quick responses to any issues that arise. 【Mechanism of the Equipment Monitoring Cloud】 Image processing for the Equipment Monitoring Cloud is performed in the cloud, eliminating the need for image processing systems like PCs. It can be implemented with just one camera. You can start using it simply by placing the camera and connecting it to the internet. There is no need for network settings such as VPN/port forwarding, so there are no hassles during the setup process. 【Features】 ■ No installation costs ■ Start immediately by just placing the camera ■ Automatic monitoring of facilities in mountainous and remote areas *For more details, please refer to the related links or feel free to contact us.

The "QR Fixed Point Monitoring System" is a system that recognizes the location of items throughout the entire process from materials to manufacturing to products, efficiently confirming whether the items are being used correctly. It can utilize the existing internal LAN network (wired or wireless). In the case of Wi-Fi, no wiring is required for image data transmission. Image acquisition is done through still images, minimizing the burden on the network. 【Features】 ■ Data transmission to higher-level systems (data files, socket communication) is possible. ■ Acquired QR data can be processed by higher-level systems. *For more details, please refer to the related links or feel free to contact us.

This time, the simple verification was requested by a chemical manufacturer, who sent us photos to consider whether we could perform image inspection for the opening and closing of valves and the monitoring of a 7-segment display. Using the "Presence of Specified Color Inspection" feature of EasyInspector, we were able to inspect one location of the valve opening and closing in 0.38 seconds. The setting is such that if there is a specified number of black pixels within the frame, or if there are none, it is considered OK. In the right image, the handle detected in green is not visible in the right image because the valve is open, so it is displayed as defective with a red frame. For the other 7-segment display, we used the "Meter Reading" feature to read a 5-digit number in 0.35 seconds. Due to the low contrast between the numbers and the background, the reading accuracy was unstable, and we may need to adjust the position of the camera and the meter in the future. 【Software Used】 EasyInspector (formerly EasyInspector) Current version: 'EasyInspector2' CL (color) package [Presence of Specified Color] CP (Control Panel) package [Meter Display Reading] can be used for inspection.

The industrial machinery manufacturer has requested to automate the monitoring of underground tank meters. Monitoring the meters, even on-site, requires manual checks in rain or snow, which is time-consuming and labor-intensive. Image inspection can help improve productivity in such cases. Since the reading of the underground tank meter could not be done with the usual meter reading function, a method based on the number of lit lamps was used, allowing for threshold determination as shown in the attached document. (For example, if 4 lamps are lit, it can be read as 40%, and if 6 lamps are lit, as 60%.) Thresholds can be set for each frame, allowing for configurations such as defining a certain percentage as an abnormal value. Using the "Meter Reading" function of EasyInspector, five inspection frames could be evaluated in 0.52 seconds. [Software Used] EasyInspector (formerly EasyInspector) The current 'EasyInspector2' CP (Control Panel) package [Meter Display Reading] can be inspected with 'EasyMonitoring2'.

Insects, plastic, frogs, anisakis, hair, and other foreign objects are monitored at a speed of about 10 times per second. AI eyes efficiently detect foreign objects on behalf of human eyes and notify with lights or buzzers. When connected to a PLC, it is also possible to stop or discharge the conveyor upon detection of foreign objects. ▼ Easy installation on conveyor belts Even in places where it's difficult to place a PC, the aiforce-mini can be installed and used on the side of the conveyor or control panel. ▼ Detectable foreign objects Insects, plastic pieces, frogs, anisakis, hair, and other items that can be visually confirmed. ▼ Beyond foreign objects Through learning, it can also check for scratches, damage, burns, and chips on the conveyor. 【Product Composition】 - aiforce-mini main unit (AI software pre-installed) - Industrial camera - Lens (specifications are selected based on the inspection target and shooting distance) - USB cable for the camera (3m) * A mouse, keyboard, and monitor needed for setup are optional.

Checking equipment located at a distance involves the hassle of moving and the risk of accidents during transit. Additionally, it is often difficult to check frequently, and it requires considerable effort for recording and management. ■ Control panel lamps, instruments, and switches ■ Monitoring pressure, temperature, voltage, and valves in the plant ▼ Automatic monitoring, recording, and early abnormality detection using network cameras An image processing system using network cameras can automatically read and record various equipment and meters located at a distance. By allowing for frequent checks, it enables the early detection and response to abnormalities. Furthermore, not only can it read meters, but it can also automatically detect abnormalities such as valve orientation, leaks, and turbidity of treated water through AI image processing. It can also be applied to sensory judgments that require human confirmation, comprehensively realizing the concept of "no need to go check" for patrol inspections.

EasyMonitoring, released in 2018, has been renewed alongside the image processing software "EasyInspector," and was re-released last autumn as EasyMonitoring2. Over the past year, we have introduced features that our customers have appreciated and new capabilities that have been added. With the addition of AI features... It has become possible to detect objects even in environments where monitoring was previously difficult due to significant changes. - Detection with stable accuracy even outdoors - Changes in brightness (trained in advance with images from various times of day and patterns) - The positions where objects appear are varied and different each time Each object can be identified and detected, allowing us to determine "where and what" has been detected. - Detection is acceptable or not based on specific areas Objects are detected with a sense close to that of the human eye. - Relative learning of objects with individual differences (animals, insects, agricultural products, foreign substances, etc.) - Detection of areas that cannot be judged solely by color (RGB) variations or roughness.

We received an inquiry from an industrial machinery manufacturer regarding wastewater treatment. We will inspect whether the treatment has been sufficiently completed. At SkyLogic, we research the latest technologies such as AI and IoT, transforming them into user-friendly products for our customers. For example, in the AI field, we offer DeepSky, which enables flexible recognition through deep learning, and in the IoT field, we have EasyMonitoring, which processes images from dozens of network cameras. By using the "Defect Inspection" feature of EasyInspector, we detect the processing status of the entire image at one location. When inspecting with EasyInspector, it is necessary to stabilize the imaging environment. Although we were able to detect it this time, we recommend using inspection software that employs AI (deep learning) for operational purposes. [Software Used] Software: EasyInspector310 (formerly EasyInspector) Current 'EasyInspector2' color package [Defect Detection] Inspections can be conducted with 'EasyMonitoring2'.

This is a request to conduct a simple verification of the reading from the panel located at the front of the device. We received an inquiry via email from a container manufacturer. They sent images to confirm the reading of seven search items displayed on the panel attached to the device, as well as the presence or absence of illumination. Reading such device panels can be considered a common case across various industries. Our inspection software can be of assistance in many different locations. 【Inspection Settings and Results】 By using the "OCR Pro" function of EasyInspector, we verified the reading of five displayed items. In the left image, each character was recognized individually, and it was read as "25." In the right image, the character spacing is narrow, making it difficult to recognize individual characters in the current display. There are various methods for determining illumination, but here we set it so that if the detection amount of gray is above the reference value, it is considered a pass; if it does not meet the reference value, it is considered a fail.

This is an inquiry regarding meter reading inspections from the road management company. Meter verification has become a significant burden across various industries. The ability to easily implement a system that monitors remotely and only intervenes when an error occurs can greatly enhance operational efficiency. 【Inspection Settings and Results】 Based on the images you provided, we were able to make a determination using EasyInspector. The left image uses the "Meter Reading" function, while the right image shows a live image (top) and a detected image (bottom) using the "OCR Pro" function, both enlarged. The tact time is 0.05 seconds. The recording method can be saved in CSV and image formats. The current 'EasyInspector2' CP (Control Panel) package allows for meter display reading inspections with 'EasyMonitoring2'.

This is an inquiry regarding the monitoring of manufacturing machines from manufacturers of drive recorders and car navigation systems installed in automobiles. We have received six images for monitoring, and we are inquiring about the appropriate settings for each reading. Our company website offers a free trial of the inspection software. The suitability of the inspection software varies depending on the work, so please feel free to contact us if you have any questions. 【Inspection Settings and Results】 For three of the six images, we are using the "Specified Color Presence Inspection" function to detect the color when illuminated, and we determine pass or fail based on whether it is detected or not. For two images, we are using the "Meter Reading Function," but we believe there may be variations in the way light hits the upper and lower parts of the meter, so illuminating the lower part, which tends to be darker, with bar lighting or similar methods may reduce false detections. For one image, reading is possible with the image you provided. Some minor adjustment for misalignment is possible, but fixing the camera is essential.

By attaching cameras to the devices or equipment you want to monitor, the following can be achieved: ■ The monitored objects can be processed for images at regular intervals, allowing for the determination of normal/abnormal conditions and the recording of read values for each instrument, similar to human patrols. ■ The latest images and historical data of the monitored objects can be checked anytime from terminal devices within the LAN. ■ In the event of abnormal detection, images can be sent via email to multiple smartphones, and outputs can be triggered through buzzers or lamps. ■ A large number of cameras (from a few to about 100; for more, please consult us) can be set up, with multiple (from one to several dozen) reading and confirmation points configured within the images of each camera. ■ It supports socket communication with SCADA and is equipped with an interface that considers compatibility with existing production systems.

This is an inquiry regarding the monitoring of manufacturing machines from manufacturers of drive recorders and car navigation systems installed in vehicles. We have received six images for monitoring, and we are inquiring about the settings tailored to each reading. Our company website offers a free trial of the inspection software. Since the suitability of the inspection software varies depending on the work, please feel free to contact us if you have any questions. 【Inspection Settings and Results】 For three of the images, we are using the "Specified Color Presence Inspection" function to detect the color when illuminated, and we determine pass or fail based on whether it is detected or not. Images D and E utilize the "Meter Reading Function," but we believe there may be variations in lighting between the upper and lower parts of the meter, so illuminating the lower part, which tends to be darker, with bar lighting or similar would likely reduce false detections. Regarding image F, reading is possible with the image you provided. Additionally, some minor adjustment for misalignment is possible, but fixing the camera is essential.

The company responsible for the energy-saving and new energy support department of the group company is experiencing issues with water leaks from the mechanical seal section of their pumps, and they reached out for consultation through our website. Our website offers trial versions of the image inspection software "EasyInspector," "EasyMonitoring," and "DeepSky." We encourage you to try them out to help resolve your issues. [Inspection Settings and Results] We imported the images you provided into our image inspection software and conducted an inspection. If the water droplet appears white against a black background, it should be easier to detect. However, if the surrounding environment is bright and the water droplet becomes transparent, it may become difficult to detect the transparent areas. We used the "Presence of Specified Color Inspection" feature in EasyInspector to detect and evaluate the glowing parts of the water droplets. It seems that operation with "EasyMonitoring" is also possible; this software can send notifications (with images) to your smartphone via email.