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An amusement park needed a turnstile system to manage entry, display real-time counts, and ensure the attraction was not overcrowded.
Chambers Electronics provided a custom turnstile system with real-time entry counting and a display for visibility.
The system met both operational and safety requirements without disrupting the guest experience.
The system improved crowd management and enhanced transparency with live occupancy counts, creating a relaxing experience for visitors.
Beekeepers and researchers struggle to track hive activity without disrupting the bees.
Early detection of issues like swarming or disease is critical.
Chambers Electronics developed a Beehive Activity Counter, a non-intrusive device that uses sensors to monitor bee traffic with a specially designed narrow entrance allowing for counts to be accurate.
A local beekeeper used the counter to identify low activity periods early, improving colony health and honey yields. The data can also support research on pollinator behavior in changing environments
Veterinarians and trainers struggled with unreliable, invasive methods for monitoring horses' heart health during training, competition, and recovery.
We developed a non-invasive, wearable heart monitoring system for horses, using advanced sensors and wireless technology.
The system provides real-time heart rate data without interfering with movement.
The system delivered accurate, continuous data, helping trainers and vets assess fitness, detect health issues early, and optimize training. It was widely adopted, improving performance and reducing heart-related health risks.
Tracking bat populations and activity, especially at night, is difficult with traditional methods that can disrupt their behavior. Accurate, non-invasive monitoring is essential.
Chambers Electronics developed the Bat Activity Counter, a device that uses advanced sensors to track bats entering and exiting roosts in real time, even in low-light conditions.
A conservation group used the counter at roosting sites, gaining insights into bat activity patterns and migration. The data informed conservation efforts and environmental impact assessments.
In Alaska, wildlife agencies face challenges in accurately tracking the moose population, especially across vast and remote areas. Traditional methods, such as field surveys and manual counts, are labor-intensive, time-consuming, and prone to human error, making it difficult to gather reliable data.
We built specially designed Moose Counters and the sensors were placed along key moose migration routes and in areas with high moose activity. These sensors detected the movement of moose, triggering an automatic count. The collected data was then analysed, allowing wildlife managers to track population trends and make data-driven decisions.
Early tests showed high detection rates, even in challenging terrain and low-light conditions. By automating data collection, the system reduces labor costs, minimizes human error, and provides more reliable population estimates. This has helped inform conservation efforts, hunting regulations, and land management decisions.
There was a need to accurately count the number of mice entering or exiting a specific area for research and population management. Manual counting methods were impractical and time-consuming.
A mouse counter was installed at key entry points, using a sensor system that detected the passage of mice. When a mouse triggered the infrared sensor, the system automatically logged the number of mice that passed through at hourly intervals.
The mouse counter effectively tracked the movement of mice, providing accurate data. This automated system improved monitoring efficiency, allowing for better pest control, research tracking, and population studies without the need for manual observation
