Innovative Data Solutions for Food Safety

Real-time data collection and analysis for food safety.

Collect data from IoT sensors efficiently.

Integrate APIs for seamless system connectivity.

Access historical food safety data easily.

A person in a white lab coat is standing in a room with tiled walls, holding a smartphone and smiling. The room contains equipment and surfaces that suggest a work environment, possibly related to food preparation or processing. Pieces of raw meat are visible on a metal surface.
A person in a white lab coat is standing in a room with tiled walls, holding a smartphone and smiling. The room contains equipment and surfaces that suggest a work environment, possibly related to food preparation or processing. Pieces of raw meat are visible on a metal surface.
Two workers dressed in protective clothing are inspecting and sorting green leafy vegetables on a blue conveyor belt inside a factory setting. The environment is clean with green and white walls, and there are pieces of industrial equipment and yellow forklifts in the background.
Two workers dressed in protective clothing are inspecting and sorting green leafy vegetables on a blue conveyor belt inside a factory setting. The environment is clean with green and white walls, and there are pieces of industrial equipment and yellow forklifts in the background.
A person is preparing food behind a large metal container inside a casual dining space. The person is wearing a cap and a face mask. On the wall behind are various safety and certification signs, along with red decorations. A table in front holds a few bowls and food items.
A person is preparing food behind a large metal container inside a casual dining space. The person is wearing a cap and a face mask. On the wall behind are various safety and certification signs, along with red decorations. A table in front holds a few bowls and food items.

Innovative Data Solutions for Food Safety

At Aims Core Materials, we specialize in collecting and analyzing data from various sources to enhance food safety, utilizing IoT sensors and big data platforms for real-time insights.

A person wearing a smartwatch and black gloves is handling a piece of cooked meat on a wooden cutting board. The setting appears to be outdoors in a snowy environment with vehicles and trees in the background.
A person wearing a smartwatch and black gloves is handling a piece of cooked meat on a wooden cutting board. The setting appears to be outdoors in a snowy environment with vehicles and trees in the background.

Data Collection Services

We gather real-time data from IoT sensors and historical data for enhanced food safety insights.

API Integration

Seamlessly connect IoT sensors with big data systems for efficient data storage and processing.

A person wearing a lab coat and safety goggles is using a microscope at a laboratory workstation. A laptop and various scientific instruments are visible on the table, displaying data and metrics.
A person wearing a lab coat and safety goggles is using a microscope at a laboratory workstation. A laptop and various scientific instruments are visible on the table, displaying data and metrics.
Emerging Issues

Stay informed on new food safety challenges through scientific literature, news, and government databases.

Utilizing big data platforms to analyze past food safety incidents and improve quality control measures.

Historical Data
A scientist in a white lab coat and safety goggles is working in a laboratory. The scientist is interacting with a computer and a large, complex piece of lab equipment that is likely used for automated processes. There are several objects present including a cardboard box labeled 'Glass Disposal', various laboratory instruments, and a computer monitor displaying data. The lab is well-lit and organized with cabinets and shelves containing various lab supplies.
A scientist in a white lab coat and safety goggles is working in a laboratory. The scientist is interacting with a computer and a large, complex piece of lab equipment that is likely used for automated processes. There are several objects present including a cardboard box labeled 'Glass Disposal', various laboratory instruments, and a computer monitor displaying data. The lab is well-lit and organized with cabinets and shelves containing various lab supplies.
A worker in a laboratory coat, hairnet, and face mask is handling a large quantity of chocolate-coated products in a stainless steel drum using blue gloves. The setting appears to be a sterile environment, likely a food production or quality control facility.
A worker in a laboratory coat, hairnet, and face mask is handling a large quantity of chocolate-coated products in a stainless steel drum using blue gloves. The setting appears to be a sterile environment, likely a food production or quality control facility.

Data Collection

Collecting real-time data for food safety and quality control.

A large industrial food processing setup with a metal container holding a significant amount of pasta. A worker in a white uniform and hairnet is seen from the back, attending to the machinery or pasta. The environment appears to be a clean industrial kitchen.
A large industrial food processing setup with a metal container holding a significant amount of pasta. A worker in a white uniform and hairnet is seen from the back, attending to the machinery or pasta. The environment appears to be a clean industrial kitchen.
IoT Sensors

Monitoring temperature and humidity in food facilities.

A hand holding a thermal scanner is pointed towards a rack of computer servers. The servers are illuminated with blue LED lights, giving a technological and futuristic feel.
A hand holding a thermal scanner is pointed towards a rack of computer servers. The servers are illuminated with blue LED lights, giving a technological and futuristic feel.
API Integration

Connecting sensors with big data storage for efficiency.

A smartphone lying on a surface with its screen displaying an air quality monitoring app. The app shows various air quality measurements in detail, including PM10, PM2.5, PM1 levels, and temperature. It also indicates that the current air quality index (CAQI) is 73 with a status of 'average'.
A smartphone lying on a surface with its screen displaying an air quality monitoring app. The app shows various air quality measurements in detail, including PM10, PM2.5, PM1 levels, and temperature. It also indicates that the current air quality index (CAQI) is 73 with a status of 'average'.
Three scientists in lab coats are engaged in examining a tablet device. Two of them are wearing safety glasses and all are wearing blue gloves. They appear to be focused and in discussion, possibly analyzing data or conducting research.
Three scientists in lab coats are engaged in examining a tablet device. Two of them are wearing safety glasses and all are wearing blue gloves. They appear to be focused and in discussion, possibly analyzing data or conducting research.
Big Data

Accessing historical food safety data for analysis.

Emerging Issues

Collecting data on new food safety challenges and trends.

Data

Collecting real-time food safety data efficiently.

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