To the Ministry of Agriculture, Forestry and Fisheries, I had the opportunity to give a presentation at the "9th National Wildlife Damage Countermeasure Summit."

Realizing the IoT integration of pest capture. AI determines wild boars, deer, and other animals from camera images. The cloud system also makes it easy to view history.

You can set the shooting time from your smartphone or PC (5 times a day). When the set time arrives, it will capture images of wild birds and animals caught in traps such as snares, box traps, and enclosures. The captured still images are sent to the cloud, where AI automatically analyzes the species and notifies you of the identification results via email along with the still images. Since the identification can be made from still images, you can confirm the identity of the wild birds and animals, allowing for more efficient capture operations. Additionally, it enables you to check the feeding status in daily use, further enhancing the efficiency of patrol inspections. 【Features】 ■ The camera is installed at the bottom of the main unit ⇒ You can adjust the shooting angle and check the angle during installation using the built-in small monitor. ■ At night, infrared LEDs illuminate and capture wild birds and animals. *For more details, please contact us through the IPROS inquiry form or by phone. *Mentioning "I saw it on IPROS" will make the explanation smoother. Phone: 088-665-6366 (Contact: Onoe) If you do not have an IPROS-ID, please inquire using the link below. External inquiry form: https://www.densin.co.jp/contact/

• Surveillance Cameras

Realizing the IoT integration of pest capture, it notifies via email when boars and deer are captured in snares, box traps, or enclosures, reducing the burden of patrols.

This is our self-developed "Pest Capture IoT System." 【Renewal Points】 1) Equipped with our self-developed microcontroller communication module board. 2) Comparison with conventional pest capture and notification sensors (compared to our previous model) 1. Achieved miniaturization (41% smaller) 2. Achieved weight reduction (800g → 500g) 3. Compatible with both NTT Docomo and Softbank communication SIMs, making it SIM-free Like the previous model, the sensor can operate for one year on four AA alkaline batteries. It also adopts Michibiki A-GPS to accurately transmit the sensor's location information to the dashboard system. *For more details, please contact us through the IPROS inquiry form or by phone. *If you mention "I saw it on IPROS," the explanation will be smoother. Phone: 088-665-6366 (Contact: Onoe) If you do not have an IPROS ID, please inquire from the link below. External inquiry form: https://www.densin.co.jp/contact/

• Other security and surveillance systems

When wild boars and other animals pass in front of the sensor, it detects them with an infrared sensor and uploads the date, time, location, detection count, as well as weather and temperature to the cloud.

The IoT wildlife detection sensor detects wild boars and other animals passing in front of the sensor using an infrared sensor, and uploads data such as date, time, location, detection frequency, weather, and temperature to the cloud. The detection and installation status is displayed on a map information system on the dashboard. Additionally, we aim to visualize sightings of wildlife through a reporting system from local residents and hunting associations. By combining the detection data stored in the cloud with the data from the sighting information system, we aim for effective capture by installing protective fences and traps in areas with high frequency of wildlife appearances. The device operates for three months on eight rechargeable batteries, and the remaining battery capacity can be checked on the dashboard to determine when to replace the batteries. *For more details, please contact us via the IPROS inquiry form or by phone. *Mentioning "I saw it on IPROS" will facilitate a smoother explanation. Phone: 088-665-6366 (Contact: Onoe) If you do not have an IPROS-ID, please inquire using the link below. External inquiry form: https://www.densin.co.jp/contact/

• Other security and surveillance systems

The particle visualization technology developed under our brand "ViEST" has a very high level of detection sensitivity, capable of visualizing the suspended or adhered states of micro and nano-sized particles in real time. We are engaged in the sale of visualization systems and contract services for evaluation (investigating particles and airflow in production processes, inside and outside manufacturing equipment, evaluating the performance of cleaning products, proposing yield improvement measures, etc.) both domestically and internationally. In manufacturing environments, invisible fine foreign substances, dust generation, particle adhesion due to static electricity, and airflow disturbances can cause quality defects and reduced yield. Our company clarifies these contamination factors through visualization technology and provides consistent support from identifying the source of the problem to considering and confirming improvement measures. Do you have any of the following concerns? - Unable to identify the cause of foreign matter contamination - Want to check airflow and cleanliness in clean rooms - Want to understand dust generation from manufacturing equipment and transport systems - Want to reduce particle adhesion to films and substrates - Want to improve contamination that leads to reduced yield

[Lecturers] KPMG Consulting Co., Ltd. Executive Officer, Partner Kazushige Ikeda KPMG Consulting Co., Ltd. Technology Consulting Senior Consultant Kakeru Ota [Key Lecture Content] In recent years, AI has evolved beyond information processing in digital spaces, such as text generation and image recognition, to become Physical AI that perceives, judges, and acts in the real world by connecting with sensors, robots, vehicles, industrial equipment, and more. Physical AI is increasingly important across a wide range of fields, including manufacturing, as it addresses industrial challenges such as labor shortages, skill transfer, replacement of hazardous work, and productivity improvement. Additionally, foundational models, semiconductors, sensors, actuators, and robotics-related technologies that support Physical AI are becoming increasingly significant from the perspective of economic security, particularly in terms of responding to supply chain risks and securing and managing critical technologies. This lecture will organize the basic concepts and key technologies of Physical AI, discuss its potential applications in manufacturing and industrial sectors, outline practical considerations for implementation and operation, and explain the actions that companies should take moving forward.

[Instructor] Nobuyuki Oonaka, CEO of Bridge Inc., Project Designer [Key Lecture Content] "Why do new businesses often come to a halt?" The cause may not be a lack of ideas or talent. Through supporting over 300 new businesses and business developments, I have learned that what separates success from failure is "the structure of the organization"—specifically, how decisions are made, how dialogue occurs, and how assumptions are shared. In this seminar, based on the book "How to Create Self-Driving New Businesses" (Shoei-sha), we will analyze the "communication problems" that cause new businesses to stop as a structure. The goal is to develop a common language within the organization to identify "where we are stuck and what actions we should take." I will share how to use the "self-driving map" in practical terms.

In this seminar, we will focus on the challenges of sensitivity reduction and separation performance in GC/MS analysis, and introduce the latest technologies and practical know-how that can help solve these issues. This time, we will also have a presentation from LECO Japan, who will discuss the benefits and applications of high-resolution and high-separation analysis with real examples. Additionally, Restek will introduce column technologies effective for improving sensitivity in trace analysis. Restek: We will explain the inert performance of the RMX GC column, which is effective for improving sensitivity in trace analysis, and the column technology that suppresses adsorption loss in low concentration areas, along with actual measurement data. LECO: We will present the latest application examples of comprehensive detection of trace components using high-sensitivity GC-TOFMS and RMX columns, including environmental, aroma, and material analysis. This content is recommended for anyone involved in multi-component analysis using GC/MS, whether for target or non-target analysis, as well as those who are just starting out. We will provide clear explanations suitable for beginners in GC/MS, so please join us.

[Speaker] Hidetaka Ishibashi, Director of IoT Planning Department, KDDI Corporation [Key Lecture Content] Against the backdrop of declining birth rates, an aging population, and labor shortages, the nature of mobility is reaching a significant turning point. KDDI has established a "Mobility Control Center" to integratively support new mobility solutions such as autonomous vehicles, drones, and robots, based on the knowledge and infrastructure cultivated through the operation of connected cars. In this lecture, we will focus on the communication and monitoring functions that are essential for the social implementation of each mobility solution, discussing the challenges and efforts towards their resolution, as well as the future vision that KDDI aims for. [Lecture Items] 1. Efforts and history of connected cars 2. Development and initiatives for new mobility 3. Importance of remote monitoring in a mobility society 4. Challenges in communication and monitoring and efforts towards solutions 5. Future vision of the mobility society that KDDI aims for 6. Q&A