Spot List of Products and Services

【Electronic Component Mounting】Determination of solder defects on the substrate. Detects bridging, insufficient solder, and lifting. 【Metal Pressing】Surface scratches and dents. Detects points that deviate from the normal surface standard. 【Resin Molding】Burrs and chips. Detects abnormalities in the gate area and parting surface. 【Film】Foreign objects. Detects against the clear standard of good products. 【Assembly】Missing parts and assembly errors. Detects the presence and position of components. 【Printing】Stamping defects. Detects misalignment and omissions of characters. For all targets, we first conduct free model creation (first time free) to verify accuracy with actual images, and only implement once standards are met. Integration into existing equipment via DLL allows for unsupervised anomaly detection even in processes with few defective samples.

• Other analytical equipment

In processes where defects rarely occur, it is impossible to collect defective product samples. DeepAge Sensor's unsupervised anomaly detection learns the "normal" standard using only good product images and detects images that deviate from that standard. It does not ask for "hundreds of defective product images." Inspection operations can start from the early stages of implementation, and even defects that have never been seen before can be identified as "deviating from normal." Inference operates on CPU (no GPU required), and integration into the equipment is done with just one DLL. Later, if defective product images accumulate on-site, it can transition to a supervised model with the same API structure. For processes with insufficient samples, accuracy can first be verified through free model creation.

• Other analytical equipment

Are you relying on visual inspections, leading to subjective judgments? The "trained eye" of experienced workers is lost due to retirement or transfers, and securing inspectors is not easy. DeepAge Sensor is an AI image inspection software that automates visual inspections. It starts learning with only good product images, making it possible to implement even in processes with only a few defective samples. It can be integrated into existing inspection equipment by simply adding one inspection DLL and runs on industrial PCs without the need for a GPU. You can first try creating a model for free using your company's inspection images and decide on implementation after reviewing the accuracy verification results, so there is almost no risk in considering it.

• Other analytical equipment

To manufacturers and system integrators who want to incorporate AI inspection features into devices that handle images: DeepAge Sensor is provided as a pre-built inference library (Windows/UNIX). You only need to reference one public C header (extern "C"). It works simply by linking in C/C++ or loading with ctypes in Python. The CPU version requires no GPU, CUDA, or drivers, and operates at 12ms per image (the GPU version operates at 2ms). Training is done on our cloud, and only the model file is distributed to the devices, so there is no need to rebuild the device software every time the model is updated. An unsupervised anomaly detection library (.uai) can also be used with the same API structure. We will provide a library and sample model for evaluation, so you can first check if create→load→inference works in your environment. OEM/white label offerings are available. Your company will handle primary support, while we will provide secondary support.

• Other analytical equipment

We are engaged in development centered around deep learning, which has recently attracted significant attention among artificial intelligence technologies. Of course, the technologies we can provide in response to customer requests vary widely. We accurately capture needs and provide optimal solutions. What we can do: Image recognition, natural language processing, speech recognition, recommendation engines, anomaly detection using sensor data, customer clustering, DM and advertising optimization, matching optimization, market forecasting, product ordering and inventory optimization, fault detection, LTV (customer lifetime value) prediction, real estate forecasting, site conversion analysis, survey data analysis, inquiry analysis, consulting and requirements definition support related to artificial intelligence technologies, and other systems related to artificial intelligence and machine learning in general.

• Other Software

The DeepAge Sensor is a high-precision defective product detection sensor that uses artificial intelligence. It combines three elements: high precision, high speed, and easy implementation. It can be added to existing systems regardless of whether they are Windows or Unix, so there is almost no additional implementation cost. If you are concerned about the accuracy or speed of your existing system, or if you are considering implementing a new system, you can easily incorporate artificial intelligence. 【For Detailed Materials and Inquiries】 Please feel free to contact us if you would like to request detailed materials. If you have any requests for more detailed information for future reference, please do not hesitate to reach out.

• Other analytical equipment
• Other Software